PGM 2006:
Prague,
Czech Republic
Milan Studený, Jirí Vomlel (Eds.):
Third European Workshop on Probabilistic Graphical Models, 12-15 September 2006, Prague, Czech Republic. Electronic Proceedings.
2006 BibTeX
- Joaquín Abellán, Manuel Gomez-Olmedo, Serafín Moral:
Some Variations on the PC Algorithm.
1-8
Electronic Edition (link) BibTeX
- Peter Antal, András Gezsi, Gabor Hullam, András Millinghoffer:
Learning Complex Bayesian Network Features for Classification.
9-16
Electronic Edition (link) BibTeX
- Peter Antal, András Millinghoffer:
Literature Mining using Bayesian Networks.
17-24
Electronic Edition (link) BibTeX
- Alessandro Antonucci, Marco Zaffalon:
Locally specified credal networks.
25-34
Electronic Edition (link) BibTeX
- Olav Bangsø, N. Sondberg-Madsen, Finn Verner Jensen:
A Bayesian Network Framework for the Construction of Virtual Agents with Human-like Behaviour.
35-42
Electronic Edition (link) BibTeX
- Janneke H. Bolt:
Loopy Propagation: the Convergence Error in Markov Networks.
43-50
Electronic Edition (link) BibTeX
- Janneke H. Bolt, Linda C. van der Gaag:
Preprocessing the MAP Problem.
51-58
Electronic Edition (link) BibTeX
- Tao Chen, Nevin Lianwen Zhang:
Quartet-Based Learning of Shallow Latent Variables.
59-66
Electronic Edition (link) BibTeX
- Barry R. Cobb:
Continuous Decision MTE Influence Diagrams.
67-74
Electronic Edition (link) BibTeX
- A. J. Feelders, Jevgenijs Ivanovs:
Discriminative Scoring of Bayesian Network Classifiers: a Comparative Study.
75-82
Electronic Edition (link) BibTeX
- M. Julia Flores, José A. Gámez, Serafín Moral:
The Independency tree model: a new approach for clustering and factorisation.
83-90
Electronic Edition (link) BibTeX
- Olivier François, Philippe Leray:
Learning the Tree Augmented Naive Bayes Classifier from incomplete datasets.
91-98
Electronic Edition (link) BibTeX
- Linda C. van der Gaag, Silja Renooij, Petra L. Geenen:
Lattices for Studying Monotonicity of Bayesian Networks.
99-106
Electronic Edition (link) BibTeX
- Linda C. van der Gaag, Peter R. de Waal:
Multi-dimensional Bayesian Network Classifiers.
107-114
Electronic Edition (link) BibTeX
- José A. Gámez, Juan L. Mateo, Jose Miguel Puerta:
Dependency networks based classifiers: learning models by using independence.
115-122
Electronic Edition (link) BibTeX
- José A. Gámez, Rafael Rumí, Antonio Salmerón:
Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials.
123-130
Electronic Edition (link) BibTeX
- Marcel van Gerven, Francisco Javier Díez:
Selecting Strategies for Infinite-Horizon Dynamic LIMIDS.
131-138
Electronic Edition (link) BibTeX
- M. A. Gomez-Villegas, Paloma Main, R. Susi:
Sensitivity analysis of extreme inaccuracies in Gaussian Bayesian Networks.
139-146
Electronic Edition (link) BibTeX
- Christophe Gonzales, N. Jouve:
Learning Bayesian Networks Structure using Markov Networks.
147-154
Electronic Edition (link) BibTeX
- Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen:
Estimation of linear, non-gaussian causal models in the presence of confounding latent variables.
155-162
Electronic Edition (link) BibTeX
- Rasa Jurgelenaite, Tom Heskes:
Symmetric Causal Independence Models for Classification.
163-170
Electronic Edition (link) BibTeX
- Johan Kwisthout, Gerard Tel:
Complexity Results for Enhanced Qualitative Probabilistic Networks.
171-178
Electronic Edition (link) BibTeX
- M. Luque, Francisco Javier Díez:
Decision analysis with influence diagrams using Elvira's explanation facilities.
179-186
Electronic Edition (link) BibTeX
- Irene Martínez, Carmelo Rodríguez, Antonio Salmerón:
Dynamic importance sampling in Bayesian networks using factorisation of probability trees.
187-194
Electronic Edition (link) BibTeX
- Stijn Meganck, Sam Maes, Philippe Leray, Bernard Manderick:
Learning Semi-Markovian Causal Models using Experiments.
195-206
Electronic Edition (link) BibTeX
- Jason Morton, Lior Pachter, Anne Shiu, Bernd Sturmfels, Oliver Wienand:
Geometry of rank tests.
207-214
Electronic Edition (link) BibTeX
- Jens D. Nielsen, Manfred Jaeger:
An Empirical Study of Efficiency and Accuracy of Probabilistic Graphical Models.
215-222
Electronic Edition (link) BibTeX
- Søren Holbech Nielsen, Thomas D. Nielsen:
Adapting Bayes Network Structures to Non-stationary Domains.
223-230
Electronic Edition (link) BibTeX
- Kristian G. Olesen, Ole K. Hejlesen, R. Dessau, I. Beltoft, M. Trangeled:
Diagnosing Lyme disease - Tailoring patient specific Bayesian networks for temporal reasoning.
231-238
Electronic Edition (link) BibTeX
- D. Ozgur-Unluakin, Taner Bilgiç:
Predictive Maintenance using Dynamic Probabilistic Networks.
239-246
Electronic Edition (link) BibTeX
- José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér:
Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity.
247-254
Electronic Edition (link) BibTeX
- Silja Renooij, Linda C. van der Gaag:
Evidence and Scenario Sensitivities in Naive Bayesian Classifiers.
255-262
Electronic Edition (link) BibTeX
- Alberto Reyes, Pablo H. Ibargüengoytia, Luis Enrique Sucar, Eduardo F. Morales:
Abstraction and Refinement for Solving Continuous Markov Decision Processes.
263-270
Electronic Edition (link) BibTeX
- Guzmán Santafé, José Antonio Lozano, Pedro Larrañaga:
Bayesian Model Averaging of TAN Models for Clustering.
271-278
Electronic Edition (link) BibTeX
- Xiaoxun Sun, Marek J. Druzdzel, Changhe Yuan:
Dynamic Weighting A* Search-based MAP Algorithm for Bayesian Networks.
279-286
Electronic Edition (link) BibTeX
- Petr Simecek:
A Short Note on Discrete Representability of Independence Models.
287-292
Electronic Edition (link) BibTeX
- Peter Thwaites, Jim Smith:
Evaluating Causal effects using Chain Event Graphs.
293-300
Electronic Edition (link) BibTeX
- Yi Wang, Nevin Lianwen Zhang:
Severity of Local Maxima for the EM Algorithm: Experiences with Hierarchical Latent Class Models.
301-308
Electronic Edition (link) BibTeX
- Y. Xiang:
Optimal Design with Design Networks.
309-316
Electronic Edition (link) BibTeX
- Changhe Yuan, Marek J. Druzdzel:
Hybrid Loopy Belief Propagation.
317-324
Electronic Edition (link) BibTeX
- Adam Zagorecki, Marek J. Druzdzel:
Probabilistic Independence of Causal Influences.
325-332
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:33:22 2009
by Michael Ley (ley@uni-trier.de)
