Search results for "probabilistic graphical models"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Guanglei Liu, Chuanyi Ji	Scalability of network-failure resilience: analysis using multi-layer probabilistic graphical models.	IEEE/ACM Trans. Netw.	2009	DBLP DOI BibTeX RDF	Erlang fixed point approximation, dependent failures, scalability, probabilistic graphical models, network resilience
3	Jens Dalgaard Nielsen, Manfred Jaeger	An Empirical Study of Efficiency and Accuracy of Probabilistic Graphical Models.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
3		Elvira: An Environment for Creating and Using Probabilistic Graphical Models.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Charalampos Rotsos, Jurgen Van Gael, Andrew W. Moore, Zoubin Ghahramani	Probabilistic graphical models for semi-supervised traffic classification.	IWCMC	2010	DBLP DOI BibTeX RDF	semi-supervised learning, traffic classification, probabilistic graphical models
2	Xiaofeng Yu, Wai Lam, Bo Chen	An integrated discriminative probabilistic approach to information extraction.	CIKM	2009	DBLP DOI BibTeX RDF	information extraction, text mining, first-order logic, probabilistic graphical models
2	George K. Baah, Andy Podgurski, Mary Jean Harrold	The probabilistic program dependence graph and its application to fault diagnosis.	ISSTA	2008	DBLP DOI BibTeX RDF	machine learning, fault diagnosis, program analysis, probabilistic graphical models
2	Roland Donat, Laurent Bouillaut, Patrice Aknin, Philippe Leray	Reliability Analysis using Graphical Duration Models.	ARES	2008	DBLP DOI BibTeX RDF	Graphical Duration Models, Reliability analysis, Probabilistic Graphical Models
2	Milan Studený, Jirí Vomlel (eds.)	Third European Workshop on Probabilistic Graphical Models, 12-15 September 2006, Prague, Czech Republic. Electronic Proceedings.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	José A. Gámez, Rafael Rumí, Antonio Salmerón	Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Olivier François, Philippe Leray	Learning the Tree Augmented Naive Bayes Classifier from incomplete datasets.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	M. Julia Flores, José A. Gámez, Serafín Moral	The Independency tree model: a new approach for clustering and factorisation.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Peter Antal, András Gezsi, Gábor Hullám, András Millinghoffer	Learning Complex Bayesian Network Features for Classification.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	A. J. Feelders, Jevgenijs Ivanovs	Discriminative Scoring of Bayesian Network Classifiers: a Comparative Study.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Tao Chen, Nevin Lianwen Zhang	Quartet-Based Learning of Shallow Latent Variables.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Jason Morton, Lior Pachter, Anne Shiu, Bernd Sturmfels, Oliver Wienand	Geometry of rank tests.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	José A. Gámez, Juan L. Mateo, Jose Miguel Puerta	Dependency networks based classifiers: learning models by using independence.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Y. Xiang	Optimal Design with Design Networks.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Stijn Meganck, Sam Maes, Philippe Leray, Bernard Manderick	Learning Semi-Markovian Causal Models using Experiments.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Guzmán Santafé, José Antonio Lozano, Pedro Larrañaga	Bayesian Model Averaging of TAN Models for Clustering.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Johan Kwisthout, Gerard Tel	Complexity Results for Enhanced Qualitative Probabilistic Networks.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Peter A. Thwaites, Jim Q. Smith	Evaluating Causal effects using Chain Event Graphs.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Kristian G. Olesen, Ole K. Hejlesen, R. Dessau, I. Beltoft, M. Trangeled	Diagnosing Lyme disease - Tailoring patient specific Bayesian networks for temporal reasoning.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen	Estimation of linear, non-gaussian causal models in the presence of confounding latent variables.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Alberto Reyes, Pablo H. Ibargüengoytia, Luis Enrique Sucar, Eduardo F. Morales	Abstraction and Refinement for Solving Continuous Markov Decision Processes.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Janneke H. Bolt, Linda C. van der Gaag	Preprocessing the MAP Problem.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Silja Renooij, Linda C. van der Gaag	Evidence and Scenario Sensitivities in Naive Bayesian Classifiers.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Xiaoxun Sun, Marek J. Druzdzel, Changhe Yuan	Dynamic Weighting A* Search-based MAP Algorithm for Bayesian Networks.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Christophe Gonzales, N. Jouve	Learning Bayesian Networks Structure using Markov Networks.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Miguel Ángel Gómez-Villegas, Paloma Main, Rosario Susi	Sensitivity analysis of extreme inaccuracies in Gaussian Bayesian Networks.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Linda C. van der Gaag, Peter R. de Waal	Multi-dimensional Bayesian Network Classifiers.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Linda C. van der Gaag, Silja Renooij, Petra L. Geenen	Lattices for Studying Monotonicity of Bayesian Networks.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	D. Ozgur-Unluakin, Taner Bilgiç	Predictive Maintenance using Dynamic Probabilistic Networks.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér	Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Yi Wang, Nevin Lianwen Zhang	Severity of Local Maxima for the EM Algorithm: Experiences with Hierarchical Latent Class Models.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Petr Simecek	A Short Note on Discrete Representability of Independence Models.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Joaquín Abellán, Manuel Gómez-Olmedo, Serafín Moral	Some Variations on the PC Algorithm.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Changhe Yuan, Marek J. Druzdzel	Hybrid Loopy Belief Propagation.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Adam Zagorecki, Marek J. Druzdzel	Probabilistic Independence of Causal Influences.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Janneke H. Bolt	Loopy Propagation: the Convergence Error in Markov Networks.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Manuel Luque, Francisco Javier Díez	Decision analysis with influence diagrams using Elvira's explanation facilities.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Søren Holbech Nielsen, Thomas D. Nielsen	Adapting Bayes Network Structures to Non-stationary Domains.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Marcel van Gerven, Francisco Javier Díez	Selecting Strategies for Infinite-Horizon Dynamic LIMIDS.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Alessandro Antonucci, Marco Zaffalon	Locally specified credal networks.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Barry R. Cobb	Continuous Decision MTE Influence Diagrams.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Peter Antal, András Millinghoffer	Literature Mining using Bayesian Networks.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Olav Bangsø, N. Sondberg-Madsen, Finn Verner Jensen	A Bayesian Network Framework for the Construction of Virtual Agents with Human-like Behaviour.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Rasa Jurgelenaite, Tom Heskes	Symmetric Causal Independence Models for Classification.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Irene Martínez, Carmelo Rodríguez, Antonio Salmerón	Dynamic importance sampling in Bayesian networks using factorisation of probability trees.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
2	Alexander Mendiburu, José Antonio Lozano, José Miguel-Alonso	Parallel Implementation of EDAs Based on Probabilistic Graphical Models.	IEEE Trans. Evolutionary Computation	2005	DBLP DOI BibTeX RDF
2	José A. Gámez, Antonio Salmerón (eds.)	First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002 - Cuenca (Spain), Electronic Proceedings	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Alireza Daneshkhah, Jim Q. Smith	Multicausal Prior Families, Randomisation and Essential Graphs.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Marta Vomlelová, Finn Verner Jensen	An Extension of Lazy Evaluation for Influence Diagrams Avoiding Redundant Variables in the Potentials.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete	Reducing Propagation Effort in Large Polytrees: An Application to Information Retrieval.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón	Factorisation of Probability Trees and its Application to Inference in Bayesian Networks.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Kristian Kersting, Niels Landwehr	Scaled Conjugate Gradients for Maximum Likelihood: An Empirical Comparison with the EM Algorithm.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Rosa Blanco, Iñaki Inza, Pedro Larrañaga	Floating Search Methods in Learning Bayesian Networks.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Jirí Vomlel	Bayesian Networks in Educational Testing.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	David Allen, Adnan Darwiche	Optimal Time-Space Tradeoff in Probabilistic Inference.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Frank Jensen, Uffe Kjærulff, Michael Lang 0002, Anders L. Madsen	Hugin - The Tool for Bayesian Networks and Influence Diagrams.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Yusuf Kenan Yilmaz, Ethem Alpaydin, H. Levent Akin, Taner Bilgiç	Handling of Deterministic Relationships in Constraint-based Causal Discovery.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Mark Hopkins, Adnan Darwiche	A Practical Relaxation of Constant-Factor Treewidth Approximation Algorithms.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Miguel A. Virto, Jacinto Martín, David Ríos Insua, Arminda Moreno-Díaz	Approximate Solutions of Complex Influence Diagrams through MCMC Methods.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	José Manuel Peña, José Antonio Lozano, Pedro Larrañaga	Unsupervised Learning of Bayesian Networks Via Estimation of Distribution Algorithms.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Murat Deviren, Khalid Daoudi	Continuous Speech Recognition Using Dynamic Bayesian Networks. A Fast Decoding Algorithm.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Kristian Kersting, Tapani Raiko, Luc De Raedt	Logical Hidden Markov Models (Extendes abstract).	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Roberto O. Puch, Jim Q. Smith, Concha Bielza	Inferentially Efficient Propagation in Non-Decomposable Bayesian Network with Hierarchical Junction Trees.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Manfred Jaeger	Probabilistic Decision Graphs - Combining Verification and AI Techniques for Probabilistic Inference.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Tsai-Ching Lu, Marek J. Druzdzel	Causal Models, Value of Intervention, and Search for Opportunities.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Robert Castelo, Michael D. Perlman	Learning Essential Graph Markov Models From Data.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Milan Studený	Characterization of Essential Graphs by Means of an Operation of Legal Component Merging.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Serafín Moral, Rafael Rumí, Antonio Salmerón	Estimating Mixtures of Truncated Exponentials from Data.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Luis M. de Campos, José A. Gámez, Jose Miguel Puerta	Graphical Models to Causal Discovery from Data.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Y. Xiang, X. Chen	Cooperative Verification of Agent Interface.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Juan A. Fernández del Pozo, Concha Bielza	New Structures for Conditional Probability Tables.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
2	Peter J. F. Lucas	Restricted Bayesian Network Structure Learning.	Probabilistic Graphical Models	2002	DBLP BibTeX RDF
1	Jean Honorio	Lipschitz Parametrization of Probabilistic Graphical Models	CoRR	2012	DBLP BibTeX RDF
1	Raphaël Mourad, Christine Sinoquet, Philippe Leray	Probabilistic graphical models for genetic association studies.	Briefings in Bioinformatics	2012	DBLP DOI BibTeX RDF
1	Wisdom M. Dlamini	A data mining approach to predictive vegetation mapping using probabilistic graphical models.	Ecological Informatics	2011	DBLP DOI BibTeX RDF
1	Pedro Larrañaga, Serafín Moral	Probabilistic graphical models in artificial intelligence.	Appl. Soft Comput.	2011	DBLP DOI BibTeX RDF
1	Simon Parsons	Probabilistic Graphical Models: Principles and Techniques by Daphne Koller and Nir Friedman, MIT Press, 1231 pp., $95.00, ISBN 0-262-01319-3.	Knowledge Eng. Review	2011	DBLP DOI BibTeX RDF
1	Yang Zhou	Structure Learning of Probabilistic Graphical Models: A Comprehensive Survey	CoRR	2011	DBLP BibTeX RDF
1	Stefanie Tellex, Thomas Kollar, Steven Dickerson, Matthew R. Walter, Ashis Gopal Banerjee, Seth J. Teller, Nicholas Roy	Approaching the Symbol Grounding Problem with Probabilistic Graphical Models.	AI Magazine	2011	DBLP BibTeX RDF
1	Yingbin Liang, Lifeng Lai, J. Halloran	Distributed Cognitive Radio Network Management via Algorithms in Probabilistic Graphical Models.	IEEE Journal on Selected Areas in Communications	2011	DBLP DOI BibTeX RDF
1	Mouna Ben Ishak, Philippe Leray, Nahla Ben Amor	A Two-way Approach for Probabilistic Graphical Models Structure Learning and Ontology Enrichment.	KEOD	2011	DBLP BibTeX RDF
1	Sargur N. Srihari	Probabilistic Graphical Models and Machine Learning.	IICAI	2011	DBLP BibTeX RDF
1	Jean Honorio	Lipschitz Parametrization of Probabilistic Graphical Models.	UAI	2011	DBLP BibTeX RDF
1	Markus Bundschus	From text to knowledge: bridging the gap with probabilistic graphical models.		2010	RDF
1	Zhemin Zhu	Factorizing Probabilistic Graphical Models Using Cooccurrence Rate	CoRR	2010	DBLP BibTeX RDF
1	Kevin P. Murphy	Review of "Probabilistic graphical models" by Koller and Friedman.	Artif. Intell.	2010	DBLP DOI BibTeX RDF
1	Roberto Santana, Concha Bielza, Pedro Larrañaga	Synergies between Network-Based Representation and Probabilistic Graphical Models for Classification, Inference and Optimization Problems in Neuroscience.	IEA/AIE	2010	DBLP DOI BibTeX RDF
1	Qian Zhang, Shan Wang, Biao Qin	Cleaning Uncertain Streams by Parallelized Probabilistic Graphical Models.	WAIM	2010	DBLP DOI BibTeX RDF
1	George K. Baah, Andy Podgurski, Mary Jean Harrold	The Probabilistic Program Dependence Graph and Its Application to Fault Diagnosis.	IEEE Trans. Software Eng.	2010	DBLP DOI BibTeX RDF	machine learning, fault diagnosis, program analysis, Probabilistic graphical models
1	Amol Deshpande	Increasing representational power and scaling reasoning in probabilistic databases.	ICDT	2010	DBLP DOI BibTeX RDF
1	Marenglen Biba, Stefano Ferilli, Floriana Esposito	Towards Multistrategic Statistical Relational Learning.	Advances in Machine Learning II	2010	DBLP DOI BibTeX RDF
1	Qiang Ji, Jiebo Luo, Dimitris N. Metaxas, Antonio Torralba, Thomas S. Huang, Erik B. Sudderth	Guest Editors' Introduction to the Special Section on Probabilistic Graphical Models.	IEEE Trans. Pattern Anal. Mach. Intell.	2009	DBLP DOI BibTeX RDF
1	Daphne Koller, Nir Friedman	Probabilistic Graphical Models - Principles and Techniques.		2009	RDF
1	Tomasz Ignac, Uli Sorger	1\|Functions on probabilistic graphical models.	IMCSIT	2009	DBLP DOI BibTeX RDF
1	Sushmita Roy, Terran Lane, Margaret Werner-Washburne	Learning structurally consistent undirected probabilistic graphical models.	ICML	2009	DBLP DOI BibTeX RDF
1	Peter Carbonetto, Matthew King, Firas Hamze	A Stochastic approximation method for inference in probabilistic graphical models.	NIPS	2009	DBLP BibTeX RDF
1	M. Julia Flores, José A. Gámez, Jens Dalgaard Nielsen	The PDG-Mixture Model for Clustering.	DaWaK	2009	DBLP DOI BibTeX RDF	data mining, clustering, Probabilistic graphical models