Abstract is missing.
- Structural Sensitivity for the Knowledge Engineering of Bayesian NetworksDavid W. Albrecht, Ann E. Nicholson, Chris Whittle. 1-16 [doi]
- A Pairwise Class Interaction Framework for Multilabel ClassificationJacinto Arias, José A. Gámez, Thomas D. Nielsen, Jose Miguel Puerta. 17-32 [doi]
- From Information to Evidence in a Bayesian NetworkAli Ben Mrad, Veronique Delcroix, Sylvain Piechowiak, Philip Leicester. 33-48 [doi]
- Learning Gated Bayesian Networks for Algorithmic TradingMarcus Bendtsen, Jose M. Peña. 49-64 [doi]
- Local Sensitivity of Bayesian Networks to Multiple Simultaneous Parameter ShiftsJanneke H. Bolt, Silja Renooij. 65-80 [doi]
- Bayesian Network Inference Using Marginal TreesCory J. Butz, Jhonatan de S. Oliveira, Anders L. Madsen. 81-96 [doi]
- On SPI-Lazy Evaluation of Influence DiagramsRafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen. 97-112 [doi]
- Extended Probability Trees for Probabilistic Graphical ModelsAndrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza. 113-128 [doi]
- Mixture of Polynomials Probability Distributions for Grouped Sample DataBarry R. Cobb. 129-144 [doi]
- Trading off Speed and Accuracy in Multilabel ClassificationGiorgio Corani, Alessandro Antonucci, Denis Deratani Mauá, Sandra Gabaglio. 145-159 [doi]
- Robustifying the Viterbi AlgorithmCedric De Boom, Jasper De Bock, Arthur Van Camp, Gert de Cooman. 160-175 [doi]
- Extended Tree Augmented Naive ClassifierCassio Polpo de Campos, Marco Cuccu, Giorgio Corani, Marco Zaffalon. 176-189 [doi]
- Evaluation of Rules for Coping with Insufficient Data in Constraint-Based Search AlgorithmsMartijn de Jongh, Marek J. Druzdzel. 190-205 [doi]
- Supervised Classification Using Hybrid Probabilistic Decision GraphsAntonio Fernández 0002, Rafael Rumí, José del Sagrado, Antonio Salmerón. 206-221 [doi]
- Towards a Bayesian Decision Theoretic Analysis of Contextual Effect ModifiersGábor Hullám, Peter Antal. 222-237 [doi]
- Discrete Bayesian Network Interpretation of the Cox's Proportional Hazards ModelJidapa Kraisangka, Marek J. Druzdzel. 238-253 [doi]
- Minimizing Relative Entropy in Hierarchical Predictive CodingJohan Kwisthout. 254-270 [doi]
- Treewidth and the Computational Complexity of MAP ApproximationsJohan Kwisthout. 271-285 [doi]
- Bayesian Networks with Function NodesAnders L. Madsen, Frank Jensen, Martin Karlsen, Nicolaj Søndberg-Jeppesen. 286-301 [doi]
- A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block DesignsAnders L. Madsen, Frank Jensen, Antonio Salmerón, Martin Karlsen, Helge Langseth, Thomas D. Nielsen. 302-317 [doi]
- Equivalences between Maximum a Posteriori Inference in Bayesian Networks and Maximum Expected Utility Computation in Influence DiagramsDenis D. Mauá. 318-333 [doi]
- Speeding Up k-Neighborhood Local Search in Limited Memory Influence DiagramsDenis D. Mauá, Fabio Gagliardi Cozman. 334-349 [doi]
- Inhibited Effects in CP-LogicWannes Meert, Joost Vennekens. 350-365 [doi]
- Learning Parameters in Canonical Models Using Weighted Least SquaresKrzysztof Nowak, Marek J. Druzdzel. 366-381 [doi]
- Learning Marginal AMP Chain Graphs under FaithfulnessJose M. Peña. 382-395 [doi]
- Learning Maximum Weighted (k+1)-Order Decomposable Graphs by Integer Linear ProgrammingAritz Pérez, Christian Blum, José A. Lozano. 396-408 [doi]
- Multi-label Classification for Tree and Directed Acyclic Graphs HierarchiesMallinali Ramírez-Corona, Luis Enrique Sucar, Eduardo F. Morales. 409-425 [doi]
- Min-BDeu and Max-BDeu Scores for Learning Bayesian NetworksMauro Scanagatta, Cassio Polpo de Campos, Marco Zaffalon. 426-441 [doi]
- Causal Discovery from Databases with Discrete and Continuous VariablesElena Sokolova, Perry Groot, Tom Claassen, Tom Heskes. 442-457 [doi]
- On Expressiveness of the AMP Chain Graph InterpretationDag Sonntag. 458-470 [doi]
- Learning Bayesian Network Structures When Discrete and Continuous Variables Are PresentJoe Suzuki. 471-486 [doi]
- Learning Neighborhoods of High Confidence in Constraint-Based Causal DiscoverySofia Triantafilou, Ioannis Tsamardinos, Anna Roumpelaki. 487-502 [doi]
- Causal Independence Models for Continuous Time Bayesian NetworksMaarten van der Heijden, Arjen Hommersom. 503-518 [doi]
- Expressive Power of Binary Relevance and Chain Classifiers Based on Bayesian Networks for Multi-label ClassificationGherardo Varando, Concha Bielza, Pedro Larrañaga. 519-534 [doi]
- An Approximate Tensor-Based Inference Method Applied to the Game of MinesweeperJirí Vomlel, Petr Tichavský. 535-550 [doi]
- Compression of Bayesian Networks with NIN-AND Tree ModelingYang Xiang, Qing Liu. 551-566 [doi]
- A Study of Recently Discovered Equalities about Latent Tree Models Using Inverse EdgesNevin Lianwen Zhang, Xiaofei Wang, Peixian Chen. 567-580 [doi]
- An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior ConstraintsYun Zhou, Norman E. Fenton, Martin Neil. 581-596 [doi]