Probabilistic Graphical Models: 7th European Workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014. Proceedings

Front Matter....Pages -
Structural Sensitivity for the Knowledge Engineering of Bayesian Networks....Pages 1-16
A Pairwise Class Interaction Framework for Multilabel Classification....Pages 17-32
From Information to Evidence in a Bayesian Network....Pages 33-48
Learning Gated Bayesian Networks for Algorithmic Trading....Pages 49-64
Local Sensitivity of Bayesian Networks to Multiple Simultaneous Parameter Shifts....Pages 65-80
Bayesian Network Inference Using Marginal Trees....Pages 81-96
On SPI-Lazy Evaluation of Influence Diagrams....Pages 97-112
Extended Probability Trees for Probabilistic Graphical Models....Pages 113-128
Mixture of Polynomials Probability Distributions for Grouped Sample Data....Pages 129-144
Trading off Speed and Accuracy in Multilabel Classification....Pages 145-159
Robustifying the Viterbi Algorithm....Pages 160-175
Extended Tree Augmented Naive Classifier....Pages 176-189
Evaluation of Rules for Coping with Insufficient Data in Constraint-Based Search Algorithms....Pages 190-205
Supervised Classification Using Hybrid Probabilistic Decision Graphs....Pages 206-221
Towards a Bayesian Decision Theoretic Analysis of Contextual Effect Modifiers....Pages 222-237
Discrete Bayesian Network Interpretation of the Cox’s Proportional Hazards Model....Pages 238-253
Minimizing Relative Entropy in Hierarchical Predictive Coding....Pages 254-270
Treewidth and the Computational Complexity of MAP Approximations....Pages 271-285
Bayesian Networks with Function Nodes....Pages 286-301
A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs....Pages 302-317
Equivalences between Maximum a Posteriori Inference in Bayesian Networks and Maximum Expected Utility Computation in Influence Diagrams....Pages 318-333
Speeding Up k -Neighborhood Local Search in Limited Memory Influence Diagrams....Pages 334-349
Inhibited Effects in CP-Logic....Pages 350-365
Learning Parameters in Canonical Models Using Weighted Least Squares....Pages 366-381
Learning Marginal AMP Chain Graphs under Faithfulness....Pages 382-395
Learning Maximum Weighted (k+1)-Order Decomposable Graphs by Integer Linear Programming....Pages 396-408
Multi-label Classification for Tree and Directed Acyclic Graphs Hierarchies....Pages 409-425
Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks....Pages 426-441
Causal Discovery from Databases with Discrete and Continuous Variables....Pages 442-457
On Expressiveness of the AMP Chain Graph Interpretation....Pages 458-470
Learning Bayesian Network Structures When Discrete and Continuous Variables Are Present....Pages 471-486
Learning Neighborhoods of High Confidence in Constraint-Based Causal Discovery....Pages 487-502
Causal Independence Models for Continuous Time Bayesian Networks....Pages 503-518
Expressive Power of Binary Relevance and Chain Classifiers Based on Bayesian Networks for Multi-label Classification....Pages 519-534
An Approximate Tensor-Based Inference Method Applied to the Game of Minesweeper....Pages 535-550
Compression of Bayesian Networks with NIN-AND Tree Modeling....Pages 551-566
A Study of Recently Discovered Equalities about Latent Tree Models Using Inverse Edges....Pages 567-580
An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints....Pages 581-596
Back Matter....Pages -