Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
23 | 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 |
21 | John F. Lemmer, D. E. Gossink |
Recursive noisy OR - a rule for estimating complex probabilistic interactions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Syst. Man Cybern. Part B ![In: IEEE Trans. Syst. Man Cybern. Part B 34(6), pp. 2252-2261, 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
14 | Ruxandra Lupas Scheiterer, Dragan Obradovic, Volker Tresp |
Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. VLSI Signal Process. ![In: J. VLSI Signal Process. 49(2), pp. 301-316, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Bayesian networks for troubleshooting and diagnosis, noisy OR, proxy model, probabilistic information experts feel confident in estimating, generation of a model that matches as closely as possible the probabilistic information provided by experts, smallest forward-backward expert-based model, closest match, expert systems, probabilistic model, causal model, model generation |
14 | Elena Zheleva, Lise Getoor |
Preserving the Privacy of Sensitive Relationships in Graph Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PinKDD ![In: Privacy, Security, and Trust in KDD, First ACM SIGKDD International Workshop, PinKDD 2007, San Jose, CA, USA, August 12, 2007, Revised Selected Papers, pp. 153-171, 2007, Springer, 978-3-540-78477-7. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
noisy-or, graph data, privacy, anonymization, social network analysis, identification, link mining |
14 | Daniel Nikovski |
Constructing Bayesian Networks for Medical Diagnosis from Incomplete and Partially Correct Statistics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Knowl. Data Eng. ![In: IEEE Trans. Knowl. Data Eng. 12(4), pp. 509-516, 2000. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
combining risk factors, leaky noisy-OR nodes, Bayesian networks, medical diagnosis |
14 | Lei Wu, Zhiwei Li 0006, Mingjing Li, Wei-Ying Ma, Nenghai Yu |
Mutually beneficial learning with application to on-line news classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PIKM ![In: Proceedings of the First Ph.D. Workshop in CIKM, PIKM 2007, Sixteenth ACM Conference on Information and Knowledge Management, CIKM 2007, Lisbon, Portugal, November 9, 2007, pp. 85-92, 2007, ACM. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
implicit domain knowledge, mutually beneficial learning, news classification, local structure |
14 | Anthony Ruto, Bernard F. Buxton |
Application of a Robust and Efficient ICP Algorithm for Fitting a Deformable 3D Human Torso Model to Noisy Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DICTA ![In: Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, DICTA 2005, 6-8 December 2005, Cairns, Australia, pp. 62, 2005, IEEE Computer Society, 0-7695-2467-2. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
9 | Yang Xiang, Yu Li, Zoe Jingyu Zhu |
Towards Effective Elicitation of NIN-AND Tree Causal Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SUM ![In: Scalable Uncertainty Management, Third International Conference, SUM 2009, Washington, DC, USA, September 28-30, 2009. Proceedings, pp. 282-296, 2009, Springer, 978-3-642-04387-1. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
9 | Fan Wang, Guihua Er, Qionghai Dai |
Inequivalent manifold ranking for content-based image retrieval. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: Proceedings of the International Conference on Image Processing, ICIP 2008, October 12-15, 2008, San Diego, California, USA, pp. 173-176, 2008, IEEE, 978-1-4244-1765-0. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
9 | Hwisung Jung, Massoud Pedram |
A stochastic local hot spot alerting technique. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ASP-DAC ![In: Proceedings of the 13th Asia South Pacific Design Automation Conference, ASP-DAC 2008, Seoul, Korea, January 21-24, 2008, pp. 468-473, 2008, IEEE, 978-1-4244-1921-0. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
9 | Yang Xiang, Ning Jia |
Modeling Causal Reinforcement and Undermining for Efficient CPT Elicitation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Knowl. Data Eng. ![In: IEEE Trans. Knowl. Data Eng. 19(12), pp. 1708-1718, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
elicitaion methods, Uncertainty, knowledge acquisition, knowledge modeling, probabilistic reasoning |
9 | Steven J. Rennie, Parham Aarabi, Brendan J. Frey |
Variational Probabilistic Speech Separation Using Microphone Arrays. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Speech Audio Process. ![In: IEEE Trans. Speech Audio Process. 15(1), pp. 135-149, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
9 | Aoying Zhou, Feng Cao, Ying Yan 0002, Chaofeng Sha, Xiaofeng He |
Distributed Data Stream Clustering: A Fast EM-based Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICDE ![In: Proceedings of the 23rd International Conference on Data Engineering, ICDE 2007, The Marmara Hotel, Istanbul, Turkey, April 15-20, 2007, pp. 736-745, 2007, IEEE Computer Society, 1-4244-0802-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
9 | Stefan Schulte 0001, Valérie De Witte, Mike Nachtegael, Dietrich Van der Weken, Etienne E. Kerre |
A New Fuzzy Filter for the Reduction of Randomly Valued Impulse Noise. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: Proceedings of the International Conference on Image Processing, ICIP 2006, October 8-11, Atlanta, Georgia, USA, pp. 1809-1812, 2006, IEEE, 1-4244-0480-0. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
9 | Rasa Jurgelenaite, Tom Heskes |
EM Algorithm for Symmetric Causal Independence Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECML ![In: Machine Learning: ECML 2006, 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings, pp. 234-245, 2006, Springer, 3-540-45375-X. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
9 | Kazuhiko Kawamoto, Kaoru Hirota |
Curve Tracking by Hypothesis Propagation and Voting-Based Verification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IWCIA ![In: Combinatorial Image Analysis, 10th InternationalWorkshop, IWCIA 2004, Auckland, New Zealand, December 1-3, 2004, Proceedings, pp. 151-163, 2004, Springer, 3-540-23942-1. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
9 | Ohad Ben-Shahar, Patrick S. Huggins, Steven W. Zucker |
On Computing Visual Flows with Boundaries: The Case of Shading and Edges. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Biologically Motivated Computer Vision ![In: Biologically Motivated Computer Vision Second International Workshop, BMCV 2002, Tübingen, Germany, November 22-24, 2002, Proceedings, pp. 189-198, 2002, Springer, 3-540-00174-3. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
9 | Soufiane Rital, Alain Bretto, Driss Aboutajdine, Hocine Cherifi |
Application of Adaptive Hypergraph Model to Impulsive Noise Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAIP ![In: Computer Analysis of Images and Patterns, 9th International Conference, CAIP 2001 Warsaw, Poland, September 5-7, 2001, Proceedings, pp. 555-562, 2001, Springer, 3-540-42513-6. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
hypergraph theory, coise detection, combinatorial model |
9 | Alain Bretto, Hocine Cherifi |
Noise Detection and Cleaning by Hypergraph Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ITCC ![In: 2000 International Symposium on Information Technology (ITCC 2000), 27-29 March 2000, Las Vegas, NV, USA, pp. 416-421, 2000, IEEE Computer Society, 0-7695-0540-6. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
|
9 | Mikko T. Syrjäsuo, Tuija I. Pulkkinen |
Determining the Skeletons of the Auroras. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIAP ![In: 1oth International Conference on Image Analysis and Processing (ICIAP 1999), 27-29 September 1999, Venice, Italy, pp. 1063-1066, 1999, IEEE Computer Society. The full citation details ...](Pics/full.jpeg) |
1999 |
DBLP DOI BibTeX RDF |
|
9 | Peter J. F. Lucas |
Certainty-Factor-Like Structures in Bayesian Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AI*IA ![In: AI*IA 99:Advances in Artificial Intelligence, 6th Congress of the Italian Association for Artificial Intelligence, Bologna, Italy, September 14-17, 1999, Proceedings, pp. 25-36, 1999, Springer, 3-540-67350-4. The full citation details ...](Pics/full.jpeg) |
1999 |
DBLP DOI BibTeX RDF |
|
8 | Shuyi Xie, Zimeng Huang, Gang Wu, Jinheng Luo, Lifeng Li, Weifeng Ma, Bohong Wang |
Combining precursor and Cloud Leaky noisy-OR logic gate Bayesian network for dynamic probability analysis of major accidents in the oil depots. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Reliab. Eng. Syst. Saf. ![In: Reliab. Eng. Syst. Saf. 241, pp. 109625, January 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
8 | Guohua Chen, Geliang Li, Mulin Xie, Qiming Xu, Geng Zhang |
A probabilistic analysis method based on Noisy-OR gate Bayesian network for hydrogen leakage of proton exchange membrane fuel cell. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Reliab. Eng. Syst. Saf. ![In: Reliab. Eng. Syst. Saf. 243, pp. 109862, March 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
8 | Lokesh Devaraj, Qazi Mashaal Khan, Alastair R. Ruddle, Alistair P. Duffy, Richard Perdriau, Mohsen Koohestani |
Improvements proposed to noisy-OR derivatives for multi-causal analysis: A case study of simultaneous electromagnetic disturbances. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Approx. Reason. ![In: Int. J. Approx. Reason. 164, pp. 109068, January 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
8 | Jirí Vomlel, Václav Kratochvíl, Frantisek Kratochvíl |
Structural learning of mixed noisy-OR Bayesian networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Approx. Reason. ![In: Int. J. Approx. Reason. 161, pp. 108990, October 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla |
Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2302.00099, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla |
Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA., pp. 7426-7448, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
8 | Chenyi Ji, Xing Su 0003, Zhongfu Qin, Ahsan Nawaz |
Probability Analysis of Construction Risk based on Noisy-or Gate Bayesian Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Reliab. Eng. Syst. Saf. ![In: Reliab. Eng. Syst. Saf. 217, pp. 107974, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
8 | Frantisek Kratochvíl, Václav Kratochvíl, Jirí Vomlel |
Learning Noisy-Or Networks with an Application in Linguistics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PGM ![In: International Conference on Probabilistic Graphical Models, PGM 2022, 5-7 October 2022, Almería, Spain., pp. 277-288, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
8 | David A. Quintanar-Gago, Pamela F. Nelson |
The extended Recursive Noisy OR model: Static and dynamic considerations. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Approx. Reason. ![In: Int. J. Approx. Reason. 139, pp. 185-200, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
8 | Takashi Sano, Yuuji Ichisugi |
Stochastic Neural Variational Learning of Noisy-OR Bayesian Networks for Images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICAAI ![In: ICAAI 2021: The 5th International Conference on Advances in Artificial Intelligence, Virtual Event, United Kingdom, November 20 - 22, 2021, pp. 72-76, 2021, ACM, 978-1-4503-9069-9. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
8 | Charupriya Sharma, Zhenyu A. Liao, James Cussens, Peter van Beek |
A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2011.01444, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
|
8 | Junjiao Tian, Wesley Cheung, Nathaniel Glaser, Yen-Cheng Liu, Zsolt Kira |
UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICRA ![In: 2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Paris, France, May 31 - August 31, 2020, pp. 5716-5723, 2020, IEEE, 978-1-7281-7395-5. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
8 | Charupriya Sharma, Zhenyu A. Liao, James Cussens, Peter van Beek |
A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PGM ![In: International Conference on Probabilistic Graphical Models, PGM 2020, 23-25 September 2020, Aalborg, Hotel Comwell Rebild Bakker, Skørping, Denmark., pp. 413-424, 2020, PMLR. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
|
8 | Yiming Yan, Melissa Ailem, Fei Sha |
Amortized Inference of Variational Bounds for Learning Noisy-OR. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy], pp. 3632-3641, 2020, PMLR. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
|
8 | Nitin Williams, Gabriele Arnulfo, Sheng H. Wang, Lino Nobili, Satu Palva, J. Matias Palva |
Comparison of Methods to Identify Modules in Noisy or Incomplete Brain Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Brain Connect. ![In: Brain Connect. 9(2), pp. 128-143, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
8 | Takao Noguchi, Norman E. Fenton, Martin Neil |
Addressing the Practical Limitations of Noisy-OR Using Conditional Inter-Causal Anti-Correlation with Ranked Nodes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Knowl. Data Eng. ![In: IEEE Trans. Knowl. Data Eng. 31(4), pp. 813-817, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
8 | Norman E. Fenton, Takao Noguchi, Martin Neil |
An Extension to the Noisy-OR Function to Resolve the 'Explaining Away' Deficiency for Practical Bayesian Network Problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Knowl. Data Eng. ![In: IEEE Trans. Knowl. Data Eng. 31(12), pp. 2441-2445, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
8 | Yiming Yan, Melissa Ailem, Fei Sha |
Amortized Inference of Variational Bounds for Learning Noisy-OR. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1906.02428, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
8 | Junjiao Tian, Wesley Cheung, Nathan Glaser, Yen-Cheng Liu, Zsolt Kira |
UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1911.05611, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
8 | Fangzhou Liao, Ming Liang, Zhe Li 0002, Xiaolin Hu 0001, Sen Song |
Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks Learn. Syst. ![In: IEEE Trans. Neural Networks Learn. Syst. 30(11), pp. 3484-3495, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
8 | Geng Ji 0001, Dehua Cheng, Huazhong Ning, Changhe Yuan, Hanning Zhou, Liang Xiong, Erik B. Sudderth |
Variational Training for Large-Scale Noisy-OR Bayesian Networks. (PDF / PS) ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, UAI 2019, Tel Aviv, Israel, July 22-25, 2019, pp. 873-882, 2019, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
8 | Yun Wang 0005, Juncheng Li 0001, Florian Metze |
Comparing the Max and Noisy-Or Pooling Functions in Multiple Instance Learning for Weakly Supervised Sequence Learning Tasks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1804.01146, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP BibTeX RDF |
|
8 | Yun Wang 0005, Juncheng Li 0001, Florian Metze |
Comparing the Max and Noisy-Or Pooling Functions in Multiple Instance Learning for Weakly Supervised Sequence Learning Tasks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
INTERSPEECH ![In: Interspeech 2018, 19th Annual Conference of the International Speech Communication Association, Hyderabad, India, 2-6 September 2018., pp. 1339-1343, 2018, ISCA. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
8 | Amelia J. Averitt, Adler J. Perotte |
Noisy-Or Risk Allocation Model for Causal Inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AMIA ![In: AMIA 2018, American Medical Informatics Association Annual Symposium, San Francisco, CA, November 3-7, 2018, 2018, AMIA. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP BibTeX RDF |
|
8 | Maryam Ashrafi, Hamid Davoudpour, Vahid Khodakarami |
A Bayesian Network to Ease Knowledge Acquisition of Causal Dependence in CREAM: Application of Recursive Noisy-OR Gates. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Qual. Reliab. Eng. Int. ![In: Qual. Reliab. Eng. Int. 33(3), pp. 479-491, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
8 | Fangzhou Liao, Ming Liang, Zhe Li 0002, Xiaolin Hu 0001, Sen Song |
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1711.08324, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP BibTeX RDF |
|
8 | Konstantinos F. Xylogiannopoulos, Panagiotis Karampelas, Reda Alhajj |
Text Mining in Unclean, Noisy or Scrambled Datasets for Digital Forensics Analytics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EISIC ![In: European Intelligence and Security Informatics Conference, EISIC 2017, Athens, Greece, September 11-13, 2017, pp. 76-83, 2017, IEEE Computer Society, 978-1-5386-2385-5. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
8 | Sanjeev Arora, Rong Ge 0001, Tengyu Ma 0001, Andrej Risteski |
Provable learning of noisy-OR networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
STOC ![In: Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2017, Montreal, QC, Canada, June 19-23, 2017, pp. 1057-1066, 2017, ACM, 978-1-4503-4528-6. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
8 | Kuang Zhou, Arnaud Martin, Quan Pan 0001 |
The Belief Noisy-OR Model Applied to Network Reliability Analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Uncertain. Fuzziness Knowl. Based Syst. ![In: Int. J. Uncertain. Fuzziness Knowl. Based Syst. 24(6), pp. 937-960, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
8 | Sanjeev Arora, Rong Ge 0001, Tengyu Ma 0001, Andrej Risteski |
Provable learning of Noisy-or Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1612.08795, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP BibTeX RDF |
|
8 | Yusheng Xie, Nan Du 0001, Wei Fan 0001, Jing Zhai, Weicheng Zhu |
Variational hybridization and transformation for large inaccurate noisy-or networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1605.06181, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP BibTeX RDF |
|
8 | Kuang Zhou, Arnaud Martin, Quan Pan 0001 |
The belief noisy-or model applied to network reliability analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1606.01116, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP BibTeX RDF |
|
8 | Zhenzhou Wang |
A New Approach for Robust Segmentation of the Noisy or Textured Images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIAM J. Imaging Sci. ![In: SIAM J. Imaging Sci. 9(3), pp. 1409-1436, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
8 | Logan Perreault, Shane Strasser, Monica Thornton, John W. Sheppard |
A Noisy-OR Model for Continuous Time Bayesian Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FLAIRS ![In: Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016, Key Largo, Florida, USA, May 16-18, 2016., pp. 668-673, 2016, AAAI Press, 978-1-57735-756-8. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP BibTeX RDF |
|
8 | Jirí Vomlel |
Generalizations of the noisy-or model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Kybernetika ![In: Kybernetika 51(3), pp. 508-524, 2015. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP DOI BibTeX RDF |
|
8 | Weizhuo Li |
Combining sum-product network and noisy-or model for ontology matching. ![Search on Bibsonomy](Pics/bibsonomy.png) |
OM ![In: Proceedings of the 10th International Workshop on Ontology Matching collocated with the 14th International Semantic Web Conference (ISWC 2015), Bethlehem, PA, USA, October 12, 2015., pp. 35-39, 2015, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP BibTeX RDF |
|
8 | Gang Chen 0032, Sargur N. Srihari |
A Noisy-Or Discriminative Restricted Boltzmann Machine for Recognizing Handwriting Style Development. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICFHR ![In: 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014, Crete, Greece, September 1-4, 2014, pp. 714-719, 2014, IEEE Computer Society, 978-1-4799-4335-7. The full citation details ...](Pics/full.jpeg) |
2014 |
DBLP DOI BibTeX RDF |
|
8 | Ajay Nagesh, Gholamreza Haffari, Ganesh Ramakrishnan |
Noisy Or-based model for Relation Extraction using Distant Supervision. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMNLP ![In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014, October 25-29, 2014, Doha, Qatar, A meeting of SIGDAT, a Special Interest Group of the ACL, pp. 1937-1941, 2014, ACL, 978-1-937284-96-1. The full citation details ...](Pics/full.jpeg) |
2014 |
DBLP DOI BibTeX RDF |
|
8 | John Mark Agosta |
"Conditional Inter-Causally Independent" Node Distributions, a Property of "Noisy-Or" Models ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1303.5704, 2013. The full citation details ...](Pics/full.jpeg) |
2013 |
DBLP BibTeX RDF |
|
8 | Sampath Srinivas |
A Generalization of the Noisy-Or Model ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1303.1479, 2013. The full citation details ...](Pics/full.jpeg) |
2013 |
DBLP BibTeX RDF |
|
8 | Kurt Huang, Max Henrion |
Efficient Search-Based Inference for Noisy-OR Belief Networks: TopEpsilon ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1302.3584, 2013. The full citation details ...](Pics/full.jpeg) |
2013 |
DBLP BibTeX RDF |
|
8 | Yonatan Halpern, David A. Sontag |
Unsupervised Learning of Noisy-Or Bayesian Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1309.6834, 2013. The full citation details ...](Pics/full.jpeg) |
2013 |
DBLP BibTeX RDF |
|
8 | Michael J. Kearns, Yishay Mansour |
Exact Inference of Hidden Structure from Sample Data in Noisy-OR Networks ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1301.7391, 2013. The full citation details ...](Pics/full.jpeg) |
2013 |
DBLP BibTeX RDF |
|
8 | Francisco Javier Díez 0001 |
Parameter Adjustment in Bayes Networks. The generalized noisy OR-gate ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1303.1465, 2013. The full citation details ...](Pics/full.jpeg) |
2013 |
DBLP BibTeX RDF |
|
8 | Yonatan Halpern, David A. Sontag |
Unsupervised Learning of Noisy-Or Bayesian Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, UAI 2013, Bellevue, WA, USA, August 11-15, 2013, 2013, AUAI Press. The full citation details ...](Pics/full.jpeg) |
2013 |
DBLP BibTeX RDF |
|
8 | Yacine Jernite, Yonatan Halpern, David A. Sontag |
Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NIPS ![In: Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States., pp. 2355-2363, 2013. The full citation details ...](Pics/full.jpeg) |
2013 |
DBLP BibTeX RDF |
|
8 | Marat V. Burnashev, Aslan Tchamkerten |
Estimating a Random Walk First-Passage Time From Noisy or Delayed Observations. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Inf. Theory ![In: IEEE Trans. Inf. Theory 58(7), pp. 4230-4243, 2012. The full citation details ...](Pics/full.jpeg) |
2012 |
DBLP DOI BibTeX RDF |
|
8 | Marat V. Burnashev, Aslan Tchamkerten |
Estimating a Random Walk First-Passage Time from Noisy or Delayed Observations ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1203.4810, 2012. The full citation details ...](Pics/full.jpeg) |
2012 |
DBLP BibTeX RDF |
|
8 | Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer |
Noisy-OR Models with Latent Confounding ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1202.3735, 2012. The full citation details ...](Pics/full.jpeg) |
2012 |
DBLP BibTeX RDF |
|
8 | Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer |
Noisy-OR Models with Latent Confounding. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: UAI 2011, Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, Barcelona, Spain, July 14-17, 2011, pp. 363-372, 2011, AUAI Press, 978-0-9749039-7-2. The full citation details ...](Pics/full.jpeg) |
2011 |
DBLP BibTeX RDF |
|
8 | Marat V. Burnashev, Aslan Tchamkerten |
Estimating a Gaussian random walk first-passage time from noisy or delayed observations. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISIT ![In: 2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011, St. Petersburg, Russia, July 31 - August 5, 2011, pp. 1594-1597, 2011, IEEE, 978-1-4577-0596-0. The full citation details ...](Pics/full.jpeg) |
2011 |
DBLP DOI BibTeX RDF |
|
8 | Steven P. D. Woudenberg, Linda C. van der Gaag |
Using the Noisy-OR Model Can Be Harmful ... But It Often Is Not. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECSQARU ![In: Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 11th European Conference, ECSQARU 2011, Belfast, UK, June 29-July 1, 2011. Proceedings, pp. 122-133, 2011, Springer, 978-3-642-22151-4. The full citation details ...](Pics/full.jpeg) |
2011 |
DBLP DOI BibTeX RDF |
|
8 | Alessandro Antonucci 0001 |
The imprecise noisy-OR gate. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FUSION ![In: Proceedings of the 14th International Conference on Information Fusion, FUSION 2011, Chicago, Illinois, USA, July 5-8, 2011, pp. 1-7, 2011, IEEE, 978-1-4577-0267-9. The full citation details ...](Pics/full.jpeg) |
2011 |
DBLP BibTeX RDF |
|
8 | Janneke H. Bolt, Linda C. van der Gaag |
An Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IPMU (1) ![In: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods - 13th International Conference, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings, Part I, pp. 11-20, 2010, Springer, 978-3-642-14054-9. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
|
8 | Jean Marc Salotti |
Noisy-or Nodes for Conditioning Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SAB ![In: From Animals to Animats 11, 11th International Conference on Simulation of Adaptive Behavior, SAB 2010, Paris - Clos Lucé, France, August 25-28, 2010. Proceedings, pp. 458-467, 2010, Springer, 978-3-642-15192-7. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
|
8 | Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapuli, Jude W. Shavlik |
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICMLA ![In: International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009, pp. 141-146, 2009, IEEE Computer Society, 978-0-7695-3926-3. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Graphical Models, Statistical Relational Learning |
8 | Aaron C. Courville, Douglas Eck, Yoshua Bengio |
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NIPS ![In: Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada., pp. 405-413, 2009, Curran Associates, Inc., 9781615679119. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP BibTeX RDF |
|
8 | Vibha Anand, Stephen M. Downs |
Probabilistic Asthma Case Finding: A Noisy OR Reformulation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AMIA ![In: AMIA 2008, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 8-12, 2008, 2008, AMIA. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP BibTeX RDF |
|
8 | Tomás Singliar, Milos Hauskrecht |
Noisy-OR Component Analysis and its Application to Link Analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Mach. Learn. Res. ![In: J. Mach. Learn. Res. 7, pp. 2189-2213, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP BibTeX RDF |
|
8 | Jirí Vomlel |
Noisy-or classifier. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Intell. Syst. ![In: Int. J. Intell. Syst. 21(3), pp. 381-398, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
8 | Tomás Singliar, Milos Hauskrecht |
Variational Learning for Noisy-OR Component Analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SDM ![In: Proceedings of the 2005 SIAM International Conference on Data Mining, SDM 2005, Newport Beach, CA, USA, April 21-23, 2005, pp. 370-379, 2005, SIAM, 978-0-89871-593-4. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
8 | Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Raghu Krishnapuram, Pushpak Bhattacharyya |
A model for handling approximate, noisy or incomplete labeling in text classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Machine Learning, Proceedings of the Twenty-Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005, pp. 681-688, 2005, ACM, 1-59593-180-5. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
8 | Fábio Gagliardi Cozman |
Axiomatizing Noisy-OR. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECAI ![In: Proceedings of the 16th Eureopean Conference on Artificial Intelligence, ECAI'2004, including Prestigious Applicants of Intelligent Systems, PAIS 2004, Valencia, Spain, August 22-27, 2004, pp. 979-980, 2004, IOS Press, 1-58603-452-9. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP BibTeX RDF |
|
8 | Adam Zagorecki, Marek J. Druzdzel |
An Empirical Study of Probability Elicitation Under Noisy-OR Assumption. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FLAIRS ![In: Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, Miami Beach, Florida, USA, pp. 880-886, 2004, AAAI Press, 1-57735-201-7. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP BibTeX RDF |
|
8 | Agnieszka Onisko, Marek J. Druzdzel, Hanna Wasyluk |
Learning Bayesian network parameters from small data sets: application of Noisy-OR gates. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Approx. Reason. ![In: Int. J. Approx. Reason. 27(2), pp. 165-182, 2001. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
|
8 | Brendan J. Frey, Relu Patrascu, Tommi S. Jaakkola, Jodi Moran |
Sequentially Fitting "Inclusive" Trees for Inference in Noisy-OR Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NIPS ![In: Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver, CO, USA, pp. 493-499, 2000, MIT Press. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP BibTeX RDF |
|
8 | B. B. Chaudhuri 0001, P. R. Bhowmik |
An approach of clustering data with noisy or imprecise feature measurement. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Pattern Recognit. Lett. ![In: Pattern Recognit. Lett. 19(14), pp. 1307-1317, 1998. The full citation details ...](Pics/full.jpeg) |
1998 |
DBLP DOI BibTeX RDF |
|
8 | Michael J. Kearns, Yishay Mansour |
Exact Inference of Hidden Structure from Sample Data in noisy-OR Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, University of Wisconsin Business School, Madison, Wisconsin, USA, July 24-26, 1998, pp. 304-310, 1998, Morgan Kaufmann, 1-55860-555-X. The full citation details ...](Pics/full.jpeg) |
1998 |
DBLP BibTeX RDF |
|
8 | Kurt Huang, Max Henrion |
Efficient Search-Based Inference for noisy-OR Belief Networks: TopEpsilon. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, Reed College, Portland, Oregon, USA, August 1-4, 1996, pp. 325-331, 1996, Morgan Kaufmann, 1-55860-412-X. The full citation details ...](Pics/full.jpeg) |
1996 |
DBLP BibTeX RDF |
|
8 | Mary L. Comer, Edward J. Delp |
Parameter Estimation and Segmentation of Noisy or Textured Images using the EM Algorithm and MPM Estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP (2) ![In: Proceedings 1994 International Conference on Image Processing, Austin, Texas, USA, November 13-16, 1994, pp. 650-654, 1994, IEEE Computer Society, 0-8186-6950-0. The full citation details ...](Pics/full.jpeg) |
1994 |
DBLP DOI BibTeX RDF |
|
8 | Francisco Javier Díez 0001 |
Parameter adjustment in Bayes networks. The generalized noisy OR-gate. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Providence, Washington, DC, USA, July 9-11, 1993, pp. 99-105, 1993, Morgan Kaufmann, 1-55860-306-9. The full citation details ...](Pics/full.jpeg) |
1993 |
DBLP BibTeX RDF |
|
8 | Sampath Srinivas |
A Generalization of the Noisy-Or Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Providence, Washington, DC, USA, July 9-11, 1993, pp. 208-218, 1993, Morgan Kaufmann, 1-55860-306-9. The full citation details ...](Pics/full.jpeg) |
1993 |
DBLP BibTeX RDF |
|
8 | John Mark Agosta |
"Conditional Inter-Causally Independent" Node Distributions, a Property of "Noisy-OR" Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, University of California at Los Angeles, Los Angeles, CA, USA, July 13-15, 1991, pp. 9-16, 1991, Morgan Kaufmann, 1-55860-203-8. The full citation details ...](Pics/full.jpeg) |
1991 |
DBLP BibTeX RDF |
|
5 | Adam J. Oliner, Alex Aiken |
A query language for understanding component interactions in production systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICS ![In: Proceedings of the 24th International Conference on Supercomputing, 2010, Tsukuba, Ibaraki, Japan, June 2-4, 2010, pp. 201-210, 2010, ACM, 978-1-4503-0018-6. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
query language, correlation, logs, production systems, influence |
5 | Junjun Deng, Hengyong Yu, Jun Ni 0001, Lihe Wang, Ge Wang 0001 |
Parallelism of iterative CT reconstruction based on local reconstruction algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Supercomput. ![In: J. Supercomput. 48(1), pp. 1-14, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Iterative reconstruction, Local iterative CT reconstruction, Parallel computing, MPI, High performance computing, Image reconstruction, Computed Tomography (CT) |
5 | Jason R. Stack, Gerald J. Dobeck, Xuejun Liao, Lawrence Carin |
Kernel-Matching Pursuits With Arbitrary Loss Functions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks ![In: IEEE Trans. Neural Networks 20(3), pp. 395-405, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
5 | Erheng Zhong, Wei Fan 0001, Jing Peng 0001, Olivier Verscheure, Jiangtao Ren |
Universal Learning over Related Distributions and Adaptive Graph Transduction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECML/PKDD (2) ![In: Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II, pp. 678-693, 2009, Springer, 978-3-642-04173-0. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
5 | Agostino Capponi, Umberto Cherubini |
A Copula Function Approach to Infer Correlation in Prediction Markets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AMMA ![In: Auctions, Market Mechanisms and Their Applications, First International ICST Conference, AMMA 2009, Boston, MA, USA, May 8-9, 2009, Revised Selected Papers, pp. 4-12, 2009, Springer, 978-3-642-03820-4. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
5 | Petr Savický, Jirí Vomlel |
Triangulation Heuristics for BN2O Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECSQARU ![In: Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 10th European Conference, ECSQARU 2009, Verona, Italy, July 1-3, 2009. Proceedings, pp. 566-577, 2009, Springer, 978-3-642-02905-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|