Table of Contents

• Regime Aware LearningMarcus Bendtsen. 1-12 [doi]
• Learning Tractable Multidimensional Bayesian Network ClassifiersMarco Benjumeda, Concha Bielza, Pedro Larrañaga. 13-24 [doi]
• Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft EvidencesBence Bolgár, Peter Antal. 25-36 [doi]
• Bayesian Networks: a Combined Tuning HeuristicJanneke H. Bolt. 37-49 [doi]
• Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial CaseMarcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Sicco Verwer, Alexis Linard. 50-61 [doi]
• On Bayesian Network Inference with Simple PropagationCory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen. 62-73 [doi]
• Relevant Path Separation: A Faster Method for Testing Independencies in Bayesian NetworksCory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira. 74-85 [doi]
• Conditional Probability EstimationMarco E. G. V. Cattaneo. 86-97 [doi]
• On Pruning with the MDL ScoreEunice Yuh-Jie Chen, Arthur Choi, Adnan Darwiche. 98-109 [doi]
• Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and ComplexityFábio Gagliardi Cozman, Denis Deratani Mauá. 110-122 [doi]
• Reintroducing Credal Networks under Epistemic IrrelevanceJasper De Bock. 123-135 [doi]
• Bayesian Torrent Classification by File Name and Size OnlyEugene Dementiev, Norman Fenton. 136-146 [doi]
• Multi-Label Classification with Cutset NetworksNicola Di Mauro, Antonio Vergari, Floriana Esposito. 147-158 [doi]
• Statistical Matching of Discrete Data by Bayesian NetworksEva Endres, Thomas Augustin. 159-170 [doi]
• An Exact Approach to Learning Probabilistic Relational ModelNourhene Ettouzi, Philippe Leray, Montassar Ben Messaoud. 171-182 [doi]
• Identifying the irreducible disjoint factors of a multivariate probability distributionMaxime Gasse, Alex Aussem. 183-194 [doi]
• On Stacking Probabilistic Temporal Models with Bidirectional Information FlowMichael Glodek, Georg Layher, Heiko Neumann, Susanne Biundo, Günther Palm. 195-206 [doi]
• A Differential Approach to Causality in Staged TreesChristiane Görgen, Jim Q. Smith. 207-215 [doi]
• Causal Discovery from Subsampled Time Series Data by Constraint OptimizationAntti Hyttinen, Sergey M. Plis, Matti Järvisalo, Frederick Eberhardt, David Danks. 216-227 [doi]
• Online Algorithms for Sum-Product Networks with Continuous VariablesPriyank Jaini, Abdullah Rashwan, Han Zhao, Yue Liu, Ershad Banijamali, Zhitang Chen, Pascal Poupart. 228-239 [doi]
• Hybrid Copula Bayesian NetworksKiran Karra, Lamine Mili. 240-251 [doi]
• Making Large Cox's Proportional Hazard Models Tractable in Bayesian NetworksJidapa Kraisangka, Marek J. Druzdzel. 252-263 [doi]
• The Parameterized Complexity of Approximate Inference in Bayesian NetworksJohan Kwisthout. 264-274 [doi]
• A Progressive Explanation of Inference in 'Hybrid' Bayesian Networks for Supporting Clinical Decision MakingEvangelia Kyrimi, William Marsh. 275-286 [doi]
• Learning Parameters of Hybrid Time Bayesian NetworksManxia Liu, Arjen Hommersom, Maarten van der Heijden, Peter J. F. Lucas. 287-298 [doi]
• Estimating Causal Effects with Ancestral Graph Markov ModelsDaniel Malinsky, Peter Spirtes. 299-309 [doi]
• Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous DiseasePeter Marx, András Millinghoffer, Gabriella Juhász, Peter Antal. 310-320 [doi]
• d-VMP: Distributed Variational Message PassingAndrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen. 321-332 [doi]
• The Effect of Combination Functions on the Complexity of Relational Bayesian NetworksDenis Deratani Mauá, Fábio Gagliardi Cozman. 333-344 [doi]
• Dynamic Sum Product Networks for Tractable Inference on Sequence DataMazen Melibari, Pascal Poupart, Prashant Doshi, George Trimponias. 345-355 [doi]
• Regression Methods Applied to Flight Variables for Situational Awareness Estimation Using Dynamic Bayesian NetworksCarlos Morales, Serafín Moral. 356-367 [doi]
• A Hybrid Causal Search Algorithm for Latent Variable ModelsJuan Miguel Ogarrio, Peter Spirtes, Joe Ramsey. 368-379 [doi]
• Bayesian Networks for Variable GroupsPekka Parviainen, Samuel Kaski. 380-391 [doi]
• Learning Acyclic Directed Mixed Graphs from Observations and InterventionsJose M. Peña. 392-402 [doi]
• Student Skill Models in Adaptive TestingMartin Plajner, Jirí Vomlel. 403-414 [doi]
• Scalable MAP inference in Bayesian networks based on a Map-Reduce approachDarío Ramos-López, Antonio Salmerón, Rafael Rumí, Ana M. Martínez, Thomas D. Nielsen, Andrés R. Masegosa, Helge Langseth, Anders L. Madsen. 415-425 [doi]
• Evidence Evaluation: a Study of Likelihoods and IndependenceSilja Renooij. 426-437 [doi]
• An Empirical-Bayes Score for Discrete Bayesian NetworksMarco Scutari. 438-448 [doi]
• Estimating Mutual Information in Under-Reported VariablesKonstantinos Sechidis, Matthew Sperrin, Emily Petherick, Gavin Brown 0001. 449-461 [doi]
• Decisions and Dependence in Influence DiagramsRoss D. Shachter. 462-473 [doi]
• Exact Inference on Conditional Linear Γ-Gaussian Bayesian NetworksIvar Simonsson, Petter Mostad. 474-486 [doi]
• Computing Lower and Upper Bounds on the Probability of Causal StatementsElena Sokolova, Martine Hoogman, Perry Groot, Tom Claassen, Tom Heskes. 487-498 [doi]
• The Chordal Graph Polytope for Learning Decomposable ModelsMilan Studený, James Cussens. 499-510 [doi]
• A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation MaximizationPriya Krishnan Sundararajan, Ole J. Mengshoel. 511-522 [doi]
• On Construction of Hybrid Logistic Regression-Naïve Bayes Model for ClassificationYi Tan, Prakash P. Shenoy, Moses W. Chan, Paul M. Romberg. 523-534 [doi]
• Compressing Bayes Net CPTs with Persistent Leaky CausesYang Xiang, Qian Jiang. 535-546 [doi]