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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 6673 occurrences of 2585 keywords
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Results
Found 37920 publication records. Showing 37920 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
80 | Kevin B. Korb, Ann E. Nicholson |
The Causal Interpretation of Bayesian Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Innovations in Bayesian Networks ![In: Innovations in Bayesian Networks: Theory and Applications, pp. 83-116, 2008, Springer, 978-3-540-85065-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
causal discovery, faithfulness, probabilistic causality, causal power, causal responsibility, Bayesian networks, intervention |
75 | David Heckerman |
A Tutorial on Learning with Bayesian Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Innovations in Bayesian Networks ![In: Innovations in Bayesian Networks: Theory and Applications, pp. 33-82, 2008, Springer, 978-3-540-85065-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
71 | Dawn E. Holmes |
Toward a Generalized Bayesian Network. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Innovations in Bayesian Networks ![In: Innovations in Bayesian Networks: Theory and Applications, pp. 281-288, 2008, Springer, 978-3-540-85065-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
PACS 02.50.Cw, 89.70.+c, 05.70.-a, 65.40.Gr |
66 | Arron R. Walker, Binh Pham 0001, Miles Moody |
Spatial bayesian learning algorithms for geographic information retrieval. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GIS ![In: 13th ACM International Workshop on Geographic Information Systems, ACM-GIS 2005, November 4-5, 2005, Bremen, Germany, Proceedings, pp. 105-114, 2005, ACM, 1-59593-146-5. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
learning Bayesian networks, spatial Bayesian learning, information retrieval, geographic information system, geographic information retrieval |
59 | Richard E. Neapolitan |
A Polemic for Bayesian Statistics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Innovations in Bayesian Networks ![In: Innovations in Bayesian Networks: Theory and Applications, pp. 7-32, 2008, Springer, 978-3-540-85065-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
59 | I. S. P. Daryle Niedermayer |
An Introduction to Bayesian Networks and Their Contemporary Applications. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Innovations in Bayesian Networks ![In: Innovations in Bayesian Networks: Theory and Applications, pp. 117-130, 2008, Springer, 978-3-540-85065-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
58 | Dimitrios A. Karras |
Efficient MRI Reconstruction Using a Hybrid Framework for Integrating Stepwise Bayesian Restoration and Neural Network Models in a Memory Based Priors System. ![Search on Bibsonomy](Pics/bibsonomy.png) |
HAIS ![In: Hybrid Artificial Intelligence Systems, Third International Workshop, HAIS 2008, Burgos, Spain, September 24-26, 2008. Proceedings, pp. 237-246, 2008, Springer, 978-3-540-87655-7. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
MRI Reconstruction, Bayesian Restoration, Bayesian priors, Systems with memory, k-space, SVM, MLP |
55 | Dawn E. Holmes, Lakhmi C. Jain |
Introduction to Bayesian Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Innovations in Bayesian Networks ![In: Innovations in Bayesian Networks: Theory and Applications, pp. 1-5, 2008, Springer, 978-3-540-85065-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
53 | Martin Gairing, Burkhard Monien, Karsten Tiemann |
Selfish routing with incomplete information. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SPAA ![In: SPAA 2005: Proceedings of the 17th Annual ACM Symposium on Parallelism in Algorithms and Architectures, July 18-20, 2005, Las Vegas, Nevada, USA, pp. 203-212, 2005, ACM, 1-58113-986-1. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
coordination ratio, incomplete information, nash equilibria, selfish routing, bayesian game |
51 | Eitel J. M. Lauría |
An Information-Geometric Approach to Learning Bayesian Network Topologies from Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Innovations in Bayesian Networks ![In: Innovations in Bayesian Networks: Theory and Applications, pp. 187-217, 2008, Springer, 978-3-540-85065-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
47 | Xia Jiang, Michael M. Wagner, Gregory F. Cooper |
Modeling the Temporal Trend of the Daily Severity of an Outbreak Using Bayesian Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Innovations in Bayesian Networks ![In: Innovations in Bayesian Networks: Theory and Applications, pp. 169-185, 2008, Springer, 978-3-540-85065-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
47 | Sylvia B. Nagl, Matthew Williams 0001, Jon Williamson |
Objective Bayesian Nets for Systems Modelling and Prognosis in Breast Cancer. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Innovations in Bayesian Networks ![In: Innovations in Bayesian Networks: Theory and Applications, pp. 131-167, 2008, Springer, 978-3-540-85065-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
46 | Xin Yu, Zhaobao Zheng, Jiangwei Wu, Xubing Zhang, Fang Wu |
Texture Classification of Aerial Image Based on Bayesian Networks with Hidden Nodes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISICA ![In: Advances in Computation and Intelligence, Second International Symposium, ISICA 2007, Wuhan, China, September 21-23, 2007, Proceedings, pp. 454-463, 2007, Springer, 978-3-540-74580-8. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
classification, Bayesian networks, aerial images, hidden nodes |
43 | Claus Möbus, Mark Eilers |
Further Steps towards Driver Modeling According to the Bayesian Programming Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
HCI (11) ![In: Digital Human Modeling, Second International Conference, ICDHM 2009, Held as Part of HCI International 2009, San Diego, CA, USA, July 19-24, 2009. Proceedings, pp. 413-422, 2009, Springer, 978-3-642-02808-3. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
digital human response models, Bayesian autonomous driver models, learning of human control strategies, probabilistic Bayesian lateral and longitudinal control, human behavior learning and transfer, graphical modeling, driver models, Bayesian Programming |
42 | Fidel Aznar Gregori, Mar Pujol, Ramón Rizo |
BROA: A Bayesian Robotic Agents Architecture. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MICAI ![In: MICAI 2008: Advances in Artificial Intelligence, 7th Mexican International Conference on Artificial Intelligence, Atizapán de Zaragoza, Mexico, October 27-31, 2008, Proceedings, pp. 880-888, 2008, Springer, 978-3-540-88635-8. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Bayesian Agents, Autonomous Intelligent Agents, Bayesian Programming |
42 | Joseph E. Beck, Kai-min Chang, Jack Mostow, Albert T. Corbett |
Does Help Help? Introducing the Bayesian Evaluation and Assessment Methodology. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Intelligent Tutoring Systems ![In: Intelligent Tutoring Systems, 9th International Conference, ITS 2008, Montreal, Canada, June 23-27, 2008, Proceedings, pp. 383-394, 2008, Springer, 978-3-540-69130-3. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Bayesian Evaluation and Assessment, evaluation, assessment, dynamic Bayesian networks, educational data mining |
42 | M. Julia Flores, José A. Gámez 0001, Serafín Moral |
Use of Explanation Treesto Describe the State Space of a Probabilistic-Based Abduction Problem. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Innovations in Bayesian Networks ![In: Innovations in Bayesian Networks: Theory and Applications, pp. 251-280, 2008, Springer, 978-3-540-85065-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
42 | Yi-Dong Shen, Qiang Yang 0001 |
Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ILP ![In: Inductive Logic Programming, 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings, pp. 330-347, 2005, Springer, 3-540-28177-0. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Probabilistic logic programming (PLP), the well-founded semantics, stationary dynamic Bayesian networks, SLG-resolution |
42 | Sunita Chulani, Barry W. Boehm, Bert Steece |
Bayesian Analysis of Empirical Software Engineering Cost Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Software Eng. ![In: IEEE Trans. Software Eng. 25(4), pp. 573-583, 1999. The full citation details ...](Pics/full.jpeg) |
1999 |
DBLP DOI BibTeX RDF |
software engineering cost models, measurement, metrics, project management, Bayesian analysis, COCOMO, multiple regression, prediction accuracy, software estimation, empirical modeling, model calibration |
42 | Jesús Cerquides, Ramón López de Mántaras |
Maximum a Posteriori Tree Augmented Naive Bayes Classifiers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Discovery Science ![In: Discovery Science, 7th International Conference, DS 2004, Padova, Italy, October 2-5, 2004, Proceedings, pp. 73-88, 2004, Springer, 3-540-23357-1. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
decomposable distributions, Bayesian networks, Naive Bayes, Bayesian network classifiers, Bayesian model averaging |
41 | Alexandre Renaux, Philippe Forster, Pascal Larzabal, Christ D. Richmond, Arye Nehorai |
A Fresh Look at the Bayesian Bounds of the Weiss-Weinstein Family. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Signal Process. ![In: IEEE Trans. Signal Process. 56(11), pp. 5334-5352, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
41 | Olav Bangsø, M. Julia Flores, Finn Verner Jensen |
Plug & Play Object Oriented Bayesian Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAEPIA ![In: Current Topics in Artificial Intelligence, 10th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2003, and 5th Conference on Technology Transfer, TTIA 2003, San Sebastian, Spain, November 12-14, 2003. Revised Selected Papers, pp. 457-467, 2003, Springer, 3-540-22218-9. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
|
41 | Alexandros Pappas, Duncan Fyfe Gillies |
A New Measure for the Accuracy of a Bayesian Network. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MICAI ![In: MICAI 2002: Advances in Artificial Intelligence, Second Mexican International Conference on Artificial Intelligence, Merida, Yucatan, Mexico, April 22-26, 2002, Proceedings, pp. 411-419, 2002, Springer, 3-540-43475-5. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
41 | Kai Ming Ting, Zijian Zheng |
Improving the Performance of Boosting for Naive Bayesian Classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PAKDD ![In: Methodologies for Knowledge Discovery and Data Mining, Third Pacific-Asia Conference, PAKDD-99, Beijing, China, April 26-28, 1999, Proceedings, pp. 296-305, 1999, Springer, 3-540-65866-1. The full citation details ...](Pics/full.jpeg) |
1999 |
DBLP DOI BibTeX RDF |
|
41 | Younhee Ko, Chengxiang Zhai, Sandra L. Rodriguez-Zas |
Inference of Gene Pathways Using Gaussian Mixture Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BIBM ![In: Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007, Silicon Valley, CA, USA, November 2-4, 2007, pp. 362-367, 2007, IEEE Computer Society, 0-7695-3031-1. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Bayesian networks, mixture model, microarray, Bayesian Information Criterion |
39 | Nipat Jongsawat, Wichian Premchaiswadi |
Bayesian Network Inference with Qualitative Expert Knowledge for Decision Support Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SNPD ![In: 11th ACIS International Conference on Software Engineering, Artificial Intelligences, Networking and Parallel/Distributed Computing, SNPD 2010, London, England, UK, June 9-11, 2010, pp. 3-8, 2010, IEEE Computer Society, 978-0-7695-4088-7. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
Bayesian network inference, qualitative expert knowledge, probability inequality constraints Bayesian network, Bayesian network inference, qualitative expert knowledge, probability inequ, Bayesian network, decision-support systems, decision-support systems |
38 | Mark Crowley 0001, Brent Boerlage, David Poole 0001 |
Adding Local Constraints to Bayesian Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Canadian AI ![In: Advances in Artificial Intelligence, 20th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2007, Montreal, Canada, May 28-30, 2007, Proceedings, pp. 344-355, 2007, Springer, 978-3-540-72664-7. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
chain graphs, complementary priors, Bayesian networks, constraints, graphical models, mixed networks, Bayesian modelling |
38 | Rodrigo de Salvo Braz, Eyal Amir, Dan Roth |
A Survey of First-Order Probabilistic Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Innovations in Bayesian Networks ![In: Innovations in Bayesian Networks: Theory and Applications, pp. 289-317, 2008, Springer, 978-3-540-85065-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
38 | Philippe Leray 0001, Stijn Meganck, Sam Maes, Bernard Manderick |
Causal Graphical Models with Latent Variables: Learning and Inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Innovations in Bayesian Networks ![In: Innovations in Bayesian Networks: Theory and Applications, pp. 219-249, 2008, Springer, 978-3-540-85065-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
38 | Murugan Ayyappan, Yew-Kwong Woon, Wee Keong Ng |
MICHO: a scalable constraint-based algorithm for learning Bayesian networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SAC ![In: Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), Sierre, Switzerland, March 22-26, 2010, pp. 985-989, 2010, ACM, 978-1-60558-639-7. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
data mining, machine learning, classification, Bayesian networks, large datasets, conditional independence |
38 | Noga Alon, Yuval Emek, Michal Feldman, Moshe Tennenholtz |
Bayesian ignorance. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PODC ![In: Proceedings of the 29th Annual ACM Symposium on Principles of Distributed Computing, PODC 2010, Zurich, Switzerland, July 25-28, 2010, pp. 384-391, 2010, ACM, 978-1-60558-888-9. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
local vs. global view, network cost sharing, bayesian games |
38 | Zhipeng Xie |
Effective Boosting of Naïve Bayesian Classifiers by Local Accuracy Estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PAKDD ![In: Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings, pp. 849-858, 2009, Springer, 978-3-642-01306-5. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Naïve Bayesian classifier, local accuracy estimation, boosting, AdaBoost |
38 | Yushi Jing, Vladimir Pavlovic 0001, James M. Rehg |
Boosted Bayesian network classifiers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mach. Learn. ![In: Mach. Learn. 73(2), pp. 155-184, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Ensemble models, AdaBoost, Structure learning, Bayesian network classifiers |
38 | Dimitris A. Karras, Basil G. Mertzios, Danielle Graveron-Demilly, Dirk van Ormondt |
Improved MRI Mining by Integrating Support Vector Machine Priors in the Bayesian Restoration. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLDM ![In: Machine Learning and Data Mining in Pattern Recognition, 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings, pp. 325-333, 2005, Springer, 3-540-26923-1. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
MRI Reconstruction, MRI Mining, Bayesian Restoration, SVM, MLP |
38 | Claus Möbus, Mark Eilers, Hilke Garbe, Malte Zilinski |
Probabilistic and Empirical Grounded Modeling of Agents in (Partial) Cooperative Traffic Scenarios. ![Search on Bibsonomy](Pics/bibsonomy.png) |
HCI (11) ![In: Digital Human Modeling, Second International Conference, ICDHM 2009, Held as Part of HCI International 2009, San Diego, CA, USA, July 19-24, 2009. Proceedings, pp. 423-432, 2009, Springer, 978-3-642-02808-3. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
digital human response models, probabilistic driver models, Bayesian autonomous driver models, learning of human control strategies, human behavior learning and transfer, mixture-of-experts model, visual attention allocation, partial cooperative problem solvers, partial autonomous assistance system, Bayesian assistance system, probabilistic detection of anomalies, traffic agents, between-vehicle-cooperation, within-vehicle-cooperation, hidden Markov models, graphical modeling, distributed cognition, dynamic Bayesian networks, shared space, driver assistance systems |
38 | Andrea Calì, Thomas Lukasiewicz, Livia Predoiu, Heiner Stuckenschmidt |
Rule-Based Approaches for Representing Probabilistic Ontology Mappings. ![Search on Bibsonomy](Pics/bibsonomy.png) |
URSW (LNCS Vol.) ![In: Uncertainty Reasoning for the Semantic Web I, ISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers, pp. 66-87, 2008, Springer, 978-3-540-89764-4. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Representing probabilistic ontology mappings, rule languages, probabilistic description logic programs, Bayesian probabilities, Bayesian description logic programs, Semantic Web, Bayesian networks, uncertainty, description logics, Datalog, inconsistency, disjunctive logic programs, answer set semantics |
37 | Zijian Zheng |
Naive Bayesian Classifier Committees. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECML ![In: Machine Learning: ECML-98, 10th European Conference on Machine Learning, Chemnitz, Germany, April 21-23, 1998, Proceedings, pp. 196-207, 1998, Springer, 3-540-64417-2. The full citation details ...](Pics/full.jpeg) |
1998 |
DBLP DOI BibTeX RDF |
|
37 | Parag C. Pendharkar, Girish H. Subramanian, James A. Rodger |
A Probabilistic Model for Predicting Software Development Effort. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Software Eng. ![In: IEEE Trans. Software Eng. 31(7), pp. 615-624, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Bayesian belief networks, probability theory, software effort estimation |
34 | Harri Lähdesmäki, Ilya Shmulevich |
Learning the structure of dynamic Bayesian networks from time series and steady state measurements. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mach. Learn. ![In: Mach. Learn. 71(2-3), pp. 185-217, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Trans-dimensional Markov chain Monte Carlo, Bayesian inference, Markov chain Monte Carlo, Dynamic Bayesian networks, Steady state analysis |
34 | Fidel Aznar Gregori, Mar Pujol, Ramón Rizo |
Autonomous Artificial Intelligent Agents for Bayesian Robotics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DCAI ![In: International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2008, University of Salamanca, Spain, 22th-24th October 2008, pp. 250-258, 2008, Springer, 978-3-540-85862-1. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Bayesian Agents, Autonomous Intelligent Agents, Bayesian Programming |
34 | Martin Neil, Manesh Tailor, David Marquez |
Inference in hybrid Bayesian networks using dynamic discretization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 17(3), pp. 219-233, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Bayesian software, Dynamic discretization, Bayesian networks, Expert systems, Statistical inference, Reasoning under uncertainty, Propagation algorithms |
34 | Junichiro Hirayama, Masashi Nakatomi, Takashi Takenouchi, Shin Ishii |
Bayesian Collaborative Predictors for General User Modeling Tasks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICONIP (1) ![In: Neural Information Processing, 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I, pp. 742-751, 2007, Springer, 978-3-540-69154-9. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
collaborative method, Bayesian network, User modeling, Bayesian inference |
34 | Fidel Aznar Gregori, Mireia Sempere, Maria Del Mar Pujol López, Ramón Rizo |
A Cognitive Model for Autonomous Agents Based on Bayesian Programming. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BVAI ![In: Brain, Vision, and Artificial Intelligence, First International Symposium, BVAI 2005, Naples, Italy, October 19-21, 2005, Proceedings, pp. 277-287, 2005, Springer, 3-540-29282-9. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Bayesian Units, Cognitive Models, Autonomous Agents, Bayesian Programming |
34 | Hongwei Zhang, Fengzhan Tian, Yuchang Lu |
A General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IDA ![In: Advances in Intelligent Data Analysis, 4th International Conference, IDA 2001, Cascais, Portugal, September 13-15, 2001, Proceedings, pp. 330-339, 2001, Springer, 3-540-42581-0. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
Multiply sectioned Bayesian network, Bayesian inference |
34 | Hadar Ziv, Debra J. Richardson |
Constructing Bayesian-network models of software testing and maintenance uncertainties. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICSM ![In: 1997 International Conference on Software Maintenance (ICSM '97), 1-3 October 1997, Bari, Italy, Proceedings, pp. 100-, 1997, IEEE Computer Society, 0-8186-8013-X. The full citation details ...](Pics/full.jpeg) |
1997 |
DBLP DOI BibTeX RDF |
Bayesian-network models, software maintenance uncertainties, software testing uncertainties, software developer confidence, software component updating, software uncertainty modelling, Beckman Instruments, software evolution, program testing, regression testing, Bayesian belief networks, Java program, software artifacts, change impact |
34 | Anand S. Bedekar, Robert M. Haralick |
A Bayesian method for triangulation and its application to finding corresponding points. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: Proceedings 1995 International Conference on Image Processing, Washington, DC, USA, October 23-26, 1995, pp. 362-365, 1995, IEEE Computer Society, 0-8186-7310-9. The full citation details ...](Pics/full.jpeg) |
1995 |
DBLP DOI BibTeX RDF |
corresponding points, multiple perspective projection images, 3D points estimation, hypothesis verification problem, 3D point coordinates, triangulation problem, Bayesian estimation problem, observed image points, camera parameters, 3D point distance, misdetection rate, image processing, experiments, statistical analysis, maximum likelihood estimation, Bayes methods, statistical test, Bayesian method, MAP estimation, maximum a posteriori estimation, false alarm rate, projection images |
34 | Jae-Won Lee, Han-joon Kim, Sang-goo Lee |
Applying taxonomic knowledge to Bayesian belief network for personalized search. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SAC ![In: Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), Sierre, Switzerland, March 22-26, 2010, pp. 1796-1801, 2010, ACM, 978-1-60558-639-7. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
conceptual matching, Bayesian belief network, personalized search |
34 | Paolo Zuliani, André Platzer, Edmund M. Clarke |
Bayesian statistical model checking with application to Simulink/Stateflow verification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
HSCC ![In: Proceedings of the 13th ACM International Conference on Hybrid Systems: Computation and Control, HSCC 2010, Stockholm, Sweden, April 12-15, 2010, pp. 243-252, 2010, ACM, 978-1-60558-955-8. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
bayesian statis tics, statistical model checking, hybrid systems, probabilistic model checking, stochastic systems |
34 | Jiejun Huang, Yanbin Yuan, Wei Cui 0003, Yunjun Zhan |
Development of a Data Mining Application for Agriculture Based on Bayesian Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CCTA ![In: Computer And Computing Technologies In Agriculture, Volume I, First IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture (CCTA 2007), Wuyishan, China, August 18-20, 2007, pp. 645-652, 2007, Springer, 978-0-387-77250-9. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
data mining, model, Bayesian network, agriculture |
34 | Elder Rizzon Santos, Moser Silva Fagundes, Rosa Maria Vicari |
Interoperability for Bayesian Agents in the Semantic Web. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PROMAS ![In: Programming Multi-Agent Systems, 5th International Workshop, ProMAS 2007, Honolulu, HI, USA, May 15, 2007, Revised and Invited Papers, pp. 73-88, 2007, Springer, 978-3-540-79042-6. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Ontology, Semantic Web, Interoperability, Bayesian Networks, Agent Architecture |
34 | Zhan Wang, Yoshiaki Hori, Kouichi Sakurai |
Application and Evaluation of Bayesian Filter for Chinese Spam. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Inscrypt ![In: Information Security and Cryptology, Second SKLOIS Conference, Inscrypt 2006, Beijing, China, November 29 - December 1, 2006, Proceedings, pp. 253-263, 2006, Springer, 3-540-49608-4. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Chinese email, spam, Bayesian filtering |
34 | Vitaly Schetinin, Valentina V. Zharkova, Sergei I. Zharkov |
Bayesian Decision Tree Averaging for the Probabilistic Interpretation of Solar Flare Occurrences. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KES (3) ![In: Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Bournemouth, UK, October 9-11, 2006, Proceedings, Part III, pp. 523-532, 2006, Springer, 3-540-46542-1. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Bayesian averaging, solar flare, Machine learning, decision tree, uncertainty, Markov Chain Monte Carlo |
34 | Xu Huang 0001, Allan C. Madoc, Dharmendra Sharma 0001 |
Image Noise Removal in Nakagami Fading Channels via Bayesian Estimator. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DELTA ![In: Third IEEE International Workshop on Electronic Design, Test and Applications (DELTA 2006), 17-19 January 2006, Kuala Lumpur, Malaysia, pp. 31-34, 2006, IEEE Computer Society, 0-7695-2500-8. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
image noise removal, Nakagami m- fading channels, wavelet, wireless communications, digital image, Bayesian estimator |
34 | Rong Chen, Krishnamoorthy Sivakumar, Hillol Kargupta |
Collective Mining of Bayesian Networks from Distributed Heterogeneous Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Knowl. Inf. Syst. ![In: Knowl. Inf. Syst. 6(2), pp. 164-187, 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
Collective data mining, Bayesian network, Distributed data mining, Heterogeneous data, Web log mining |
33 | Jesús Cerquides, Ramón López de Mántaras |
TAN Classifiers Based on Decomposable Distributions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mach. Learn. ![In: Mach. Learn. 59(3), pp. 323-354, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
tree augmented naive Bayes, decomposable distributions, Bayesian networks, naive Bayes, Bayesian network classifiers, Bayesian model averaging |
33 | Colin Chen, Keming Yu |
Automatic Bayesian quantile regression curve fitting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 19(3), pp. 271-281, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Asymmetric Laplace distribution, Quantile regression, Reversible jump Markov chain Monte Carlo, Splines, Piecewise polynomials |
33 | Koray Kayabol, Ercan E. Kuruoglu, Bülent Sankur |
Bayesian Separation of Images Modeled With MRFs Using MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Image Process. ![In: IEEE Trans. Image Process. 18(5), pp. 982-994, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
33 | Kristian Kersting, Luc De Raedt |
Basic Principles of Learning Bayesian Logic Programs. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Probabilistic Inductive Logic Programming ![In: Probabilistic Inductive Logic Programming - Theory and Applications, pp. 189-221, 2008, Springer, 978-3-540-78651-1. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
33 | Jangsik Cho, Shohei Kato, Hidenori Itoh |
Bayesian-Based Inference of Dialogist's Emotion for Sensitivity Robots. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RO-MAN ![In: IEEE RO-MAN 2007, 16th IEEE International Symposium on Robot & Human Interactive Communication, August 26-29, 2007, Jeju Island, South Korea, Proceedings, pp. 792-797, 2007, IEEE, 978-1-4244-1634-9. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
33 | Kazuyuki Numata, Seiya Imoto, Satoru Miyano |
A Structure Learning Algorithm for Inference of Gene Networks from Microarray Gene Expression Data Using Bayesian Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BIBE ![In: Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2007, October 14-17, 2007, Harvard Medical School, Boston, MA, USA, pp. 1280-1284, 2007, IEEE Computer Society, 978-1-4244-1509-0. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
33 | Kazuho Watanabe, Motoki Shiga, Sumio Watanabe |
Upper Bounds for Variational Stochastic Complexities of Bayesian Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IDEAL ![In: Intelligent Data Engineering and Automated Learning - IDEAL 2006, 7th International Conference, Burgos, Spain, September 20-23, 2006, Proceedings, pp. 139-146, 2006, Springer, 3-540-45485-3. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
33 | Shohei Kato, Yoshiki Sugino, Hidenori Itoh |
A Bayesian Approach to Emotion Detection in Dialogist's Voice for Human Robot Interaction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KES (2) ![In: Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Bournemouth, UK, October 9-11, 2006, Proceedings, Part II, pp. 961-968, 2006, Springer, 3-540-46537-5. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
33 | Alexey Tsymbal, Seppo Puuronen, David W. Patterson |
Feature Selection for Ensembles of Simple Bayesian Classifiers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISMIS ![In: Foundations of Intelligent Systems, 13th International Symposium, ISMIS 2002, Lyon, France, June 27-29, 2002, Proceedings, pp. 592-600, 2002, Springer, 3-540-43785-1. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
32 | Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi, Sergio Storari |
Improving the SLA Algorithm Using Association Rules. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AI*IA ![In: AI*IA 2003: Advances in Artificial Intelligence, 8th Congress of the Italian Association for Artificial Intelligence, Pisa, Italy, September 23-26, 2003, Proceedings, pp. 165-175, 2003, Springer, 3-540-20119-X. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
|
30 | Kyu Baek Hwang, Byoung-Tak Zhang |
Bayesian model averaging of Bayesian network classifiers over multiple node-orders: application to sparse datasets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Syst. Man Cybern. Part B ![In: IEEE Trans. Syst. Man Cybern. Part B 35(6), pp. 1302-1310, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
30 | Ahmed Hussein, Eugene Santos Jr. |
Exploring Case-Based Bayesian Networks and Bayesian Multi-nets for Classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Canadian AI ![In: Advances in Artificial Intelligence, 17th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2004, London, Ontario, Canada, May 17-19, 2004, Proceedings, pp. 485-492, 2004, Springer, 3-540-22004-6. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
30 | Ayad R. Abbas, Juan Liu 0007 |
Supporting E-Learning System with Modified Bayesian Rough Set Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISNN (2) ![In: Advances in Neural Networks - ISNN 2009, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part II, pp. 192-200, 2009, Springer, 978-3-642-01509-0. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Bayesian Confirmation Measures, Bayesian Rough Set model, E-learning, Rough Set, Variable Precision Rough Set model |
30 | T. J. Jia |
Construction of Learning Algorithm based on SGA Bayesian Network. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISECS ![In: Proceedings of The International Symposium on Electronic Commerce and Security, ISECS 2008, August 3-5, 2008, Guangzhou, China, pp. 37-40, 2008, IEEE Computer Society, 978-0-7695-3258-5. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Self-organizing Genetic Algorithm (SGA), Bayesian learning based on Knowledge base, network safety applies, Bayesian network |
30 | Giorgio Corani, Marco Zaffalon |
Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECML/PKDD (1) ![In: Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I, pp. 257-271, 2008, Springer, 978-3-540-87478-2. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Credal model averaging, naive Bayesian networks, classification, naive Bayes, imprecise probabilities, Bayesian model averaging |
30 | Reinhard Viertl |
Fuzzy Bayesian Inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SMPS ![In: Soft Methods for Handling Variability and Imprecision, Selected papers from the 4th International Conference on Soft Methods in Probability and Statistics, SMPS 2008, Toulouse, France, September 8-10, 2008, pp. 10-15, 2008, Springer, 978-3-540-85026-7. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Bayes’ theorem, Fuzzy Bayesian inference, Fuzzy information, Fuzzy intervals, Fuzzy probability distributions, Fuzzy utility, Non-precise numbers, Bayesian inference, Decision analysis, Fuzzy data |
30 | Feng-Jen Yang |
Eliciting an overlooked aspect of Bayesian reasoning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM SIGCSE Bull. ![In: ACM SIGCSE Bull. 39(4), pp. 45-48, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Bayesian assumption, uncertainty management, Bayesian reasoning |
30 | Ganesh J. Pai, Joanne Bechta Dugan |
Empirical Analysis of Software Fault Content and Fault Proneness Using Bayesian Methods. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Software Eng. ![In: IEEE Trans. Software Eng. 33(10), pp. 675-686, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
object-oriented, metrics, Bayesian networks, software quality, regression, defects, Bayesian analysis, fault proneness |
30 | Sebastian D. C. de O. Galvão, Estevam R. Hruschka Jr. |
A Markov Blanket Based Strategy to Optimize the Induction of Bayesian Classifiers When Using Conditional Independence Learning Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DaWaK ![In: Data Warehousing and Knowledge Discovery, 9th International Conference, DaWaK 2007, Regensburg, Germany, September 3-7, 2007, Proceedings, pp. 355-364, 2007, Springer, 978-3-540-74552-5. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Bayesian Networks, Bayesian Classifiers, Conditional Independence, Markov Blanket |
30 | Fidel Aznar Gregori, Mireia Sempere, Maria Del Mar Pujol López, Ramón Rizo |
Bayesian Emotions: Developing an Interface for Robot/Human Communication. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AI*IA ![In: AI*IA 2005: Advances in Artificial Intelligence, 9th Congress of the Italian Association for Artificial Intelligence, Milan, Italy, September 21-23, 2005, Proceedings, pp. 507-517, 2005, Springer, 3-540-29041-9. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Bayesian Units, Autonomous Agents, Human Robot Interface, Bayesian Programming |
30 | X. Fu, X. Gao, D. Chen |
A Bayesian Optimization Algorithm for UAV Path Planning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Intelligent Information Processing ![In: Intelligent Information Processing II, IFIP TC12/WG12.3 International Conference on Intelligent Information Processing (IIP 2004), October 21-23, 2004, Beijing, China, pp. 227-232, 2004, Springer, 0-387-23151-X. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
genetic algorithm, Bayesian network, path planning, UAV, Bayesian optimization algorithm |
30 | Stan Z. Li, Kap Luk Chan, Han Wang 0001 |
Bayesian image restoration and segmentation by constrained optimizatio. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CVPR ![In: 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), June 18-20, 1996 San Francisco, CA, USA, pp. 1-6, 1996, IEEE Computer Society, 0-8186-7258-7. The full citation details ...](Pics/full.jpeg) |
1996 |
DBLP DOI BibTeX RDF |
Bayesian image restoration, Lagrange-Hopfield method, Markov random field based Bayesian image estimation problems, augmented Lagrangian multiplier technique, neural-like analog implementation, image segmentation, image segmentation, optimisation, Markov processes, image restoration, constrained optimization, Bayes methods, Hopfield network, Hopfield neural nets |
30 | Zhibin Lei, Daniel Keren, David B. Cooper |
Computationally fast Bayesian recognition of complex objects based on mutual algebraic invariants. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: Proceedings 1995 International Conference on Image Processing, Washington, DC, USA, October 23-26, 1995, pp. 635-638, 1995, IEEE Computer Society, 0-8186-7310-9. The full citation details ...](Pics/full.jpeg) |
1995 |
DBLP DOI BibTeX RDF |
computationally fast Bayesian recognition, complex objects recognition, 2D curve, 3D surface objects, Euclidean invariants, polynomial coefficients, Bayesian object recognition, robust recognition, mutual invariants recognizers, self invariants, object geometry, low computational cost, partially occluded articulated objects, joint geometry, self geometry, mutual algebraic invariants, database, computational geometry, object recognition, noise, polynomials, polynomial, vector, position, Bayes methods, patches, affine invariants |
30 | Hiroshi Saito |
Adaptive CACs using Bayesian performance estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCCN ![In: Proceedings of the 4th International Conference on Computer Communications and Networks (ICCCN '95), September 20-23, 1995, Las Vegas, Nevada, USA, pp. 11, 1995, IEEE Computer Society, 0-8186-7180-7. The full citation details ...](Pics/full.jpeg) |
1995 |
DBLP DOI BibTeX RDF |
Bayesian performance estimation, adaptive CAC, Bayesian regression analysis, log-transform, maximum queue length, measurement period, maximum queue size, monitored performance data, simulation, asynchronous transfer mode, asynchronous transfer mode, convergence, queueing theory, ATM networks, variance, oscillation, connection admission control, telecommunication system, cell loss ratio |
30 | David Allingham, R. A. R. King, Kerrie L. Mengersen |
Bayesian estimation of quantile distributions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 19(2), pp. 189-201, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Approximate Bayesian computation, Quantile distribution, Response time data, Posterior distribution |
30 | Tzu-Tsung Wong |
Alternative prior assumptions for improving the performance of naïve Bayesian classifiers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Data Min. Knowl. Discov. ![In: Data Min. Knowl. Discov. 18(2), pp. 183-213, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Conjugate, Dirichlet assumption, Generalized Dirichlet distribution, Liouville distribution, Naïve Bayesian classifier |
30 | Linda C. van der Gaag, Silja Renooij, Ad Feelders, Arend de Groote, Marinus J. C. Eijkemans, Frank J. Broekmans, Bart C. J. M. Fauser |
Aligning Bayesian Network Classifiers with Medical Contexts. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLDM ![In: Machine Learning and Data Mining in Pattern Recognition, 6th International Conference, MLDM 2009, Leipzig, Germany, July 23-25, 2009. Proceedings, pp. 787-801, 2009, Springer, 978-3-642-03069-7. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
learning Bayesian network classifiers, medical alignment, logistic regression |
30 | |
Using Bayesian Network and AIS to Perform Feature Subset Selection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIC (2) ![In: Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 5th International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, September 16-19, 2009, Proceedings, pp. 573-580, 2009, Springer, 978-3-642-04019-1. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Feature selection, Bayesian network, Artificial immune system |
30 | Narges Bani Asadi, Teresa H. Meng, Wing Hung Wong |
Reconfigurable computing for learning Bayesian networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FPGA ![In: Proceedings of the ACM/SIGDA 16th International Symposium on Field Programmable Gate Arrays, FPGA 2008, Monterey, California, USA, February 24-26, 2008, pp. 203-211, 2008, ACM, 978-1-59593-934-0. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Bayesian networks, reconfigurable computing, Markov chain Monte Carlo |
30 | Sargur N. Srihari, Kamal Kuzhinjedathu, Harish Srinivasan, Chen Huang 0002, Danjun Pu |
Signature Verification Using a Bayesian Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IWCF ![In: Computational Forensics, Second International Workshop, IWCF 2008, Washington, DC, USA, August 7-8, 2008, Proceedings, pp. 192-203, 2008, Springer, 978-3-540-85302-2. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Signature verification, Bayesian approach |
30 | Li Pan, Hong Zheng, Li Li |
A Hybrid Feature Selection Approach Based on the Bayesian Network Classifier and Rough Sets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RSKT ![In: Rough Sets and Knowledge Technology, Third International Conference, RSKT 2008, Chengdu, China, May 17-19, 2008. Proceedings, pp. 707-714, 2008, Springer, 978-3-540-79720-3. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Naive Bayesian Network Classifier, Feature Selection, Rough Sets |
30 | Luis M. San-José-Revuelta |
Hypotheses Control-based Strategies for the Development of Near-optimum Bayesian Detectors for CDMA Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. VLSI Signal Process. ![In: J. VLSI Signal Process. 48(1-2), pp. 127-141, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Bayesian approach, Multiple-Access Interference, CDMA systems |
30 | Sherif Akoush, Ahmed Sameh |
Mobile user movement prediction using bayesian learning for neural networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IWCMC ![In: Proceedings of the International Conference on Wireless Communications and Mobile Computing, IWCMC 2007, Honolulu, Hawaii, USA, August 12-16, 2007, pp. 191-196, 2007, ACM, 978-1-59593-695-0. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
neural networks, Bayesian network, Markov chain, Monte Carlo methods |
30 | Ratiba Kabli, Frank Herrmann, John A. W. McCall |
A chain-model genetic algorithm for Bayesian network structure learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2007, Proceedings, London, England, UK, July 7-11, 2007, pp. 1264-1271, 2007, ACM, 978-1-59593-697-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
genetic algorithms, Bayesian networks, greedy search |
30 | Emilia Mendes |
The Use of a Bayesian Network for Web Effort Estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICWE ![In: Web Engineering, 7th International Conference, ICWE 2007, Como, Italy, July 16-20, 2007, Proceedings, pp. 90-104, 2007, Springer, 978-3-540-73596-0. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Web effort estimation, Effort accuracy, Web cost estimation, Bayesian Networks |
30 | Kui Yu, Hao Wang 0008, Xindong Wu 0001 |
A Parallel Algorithm for Learning Bayesian Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PAKDD ![In: Advances in Knowledge Discovery and Data Mining, 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings, pp. 1055-1063, 2007, Springer, 978-3-540-71700-3. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
structural EM, MPI library, parallel EM, parallel processing, Bayesian networks |
30 | Khwunta Kirimasthong, Aompilai Manorat, Jeerayut Chaijaruwanich, Sukon Prasitwattanaseree, Chinae Thammarongtham |
Inference of Gene Regulatory Network by Bayesian Network Using Metropolis-Hastings Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ADMA ![In: Advanced Data Mining and Applications, Third International Conference, ADMA 2007, Harbin, China, August 6-8, 2007, Proceedings, pp. 276-286, 2007, Springer, 978-3-540-73870-1. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Transcriptional expression analysis, Bayesian network, Gene regulatory network, Metropolis-Hastings algorithm |
30 | Elder Rizzon Santos, Moser Silva Fagundes, Rosa Maria Vicari |
An ontology-based approach to interoperability for Bayesian agents. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AAMAS ![In: 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), Honolulu, Hawaii, USA, May 14-18, 2007, pp. 231, 2007, IFAAMAS, 978-81-904262-7-5. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
ontology, semantic web, interoperability, Bayesian networks, agent architecture |
30 | Ioannis Tsamardinos, Laura E. Brown, Constantin F. Aliferis |
The max-min hill-climbing Bayesian network structure learning algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mach. Learn. ![In: Mach. Learn. 65(1), pp. 31-78, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Bayesian networks, Graphical models, Structure learning |
30 | Jukka Corander, Pekka Marttinen |
Bayesian Model Learning Based on Predictive Entropy. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Log. Lang. Inf. ![In: J. Log. Lang. Inf. 15(1-2), pp. 5-20, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
information theoretic criteria, objective model learning, entropy, Bayesian inference |
30 | Matthew Williams 0001, Jon Williamson |
Combining Argumentation and Bayesian Nets for Breast Cancer Prognosis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Log. Lang. Inf. ![In: J. Log. Lang. Inf. 15(1-2), pp. 155-178, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
bayesian networks, logic, argumentation, bayes theorem |
30 | Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia |
Gene Regulatory Network Construction Using Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM). ![Search on Bibsonomy](Pics/bibsonomy.png) |
RSKT ![In: Rough Sets and Knowledge Technology, First International Conference, RSKT 2006, Chongqing, China, July 24-26, 2006, Proceedings, pp. 402-407, 2006, Springer, 3-540-36297-5. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
structural expectation maximization, microarray, dynamic Bayesian network, gene regulatory network |
30 | Sungsoo Lim, Sung-Bae Cho |
Automatic Construction of Bayesian Networks for Conversational Agent. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIC (2) ![In: Advances in Intelligent Computing, International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part II, pp. 228-237, 2005, Springer, 3-540-28227-0. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Noisy-OR gate, Bayesian network, Script, Hierarchical structure, Conversational agent |
30 | Dominik Slezak |
The Rough Bayesian Model for Distributed Decision Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Rough Sets and Current Trends in Computing ![In: Rough Sets and Current Trends in Computing, 4th International Conference, RSCTC 2004, Uppsala, Sweden, June 1-5, 2004, Proceedings, pp. 384-393, 2004, Springer, 3-540-22117-4. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
Inverse Probabilities, Rough Sets, Decision Systems, Bayes Factor, Bayesian Reasoning |
30 | Jozef Gemela |
Learning Bayesian networks using various datasources and applications to financial analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Soft Comput. ![In: Soft Comput. 7(5), pp. 297-303, 2003. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
Fundamental financial analysis, Neural networks, Learning, Bayesian networks, Application, Engineering |
30 | Ratthachat Chatpatanasiri, Boonserm Kijsirikul |
Learning First-Order Bayesian Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AI ![In: Advances in Artificial Intelligence, 16th Conference of the Canadian Society for Computational Studies of Intelligence, AI 2003, Halifax, Canada, June 11-13, 2003, Proceedings, pp. 313-328, 2003, Springer, 3-540-40300-0. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
First-Order Bayesian Networks, Overfitting Problem, Propositionalisation, Feature Extraction, Inductive Logic Programming |
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