Proceedings

All submissions have been peer-reviewed by the PGM-2010 Programme Committee, and appear as chapters in the workshop proceedings, full reference:

• Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010), edited by Petri Myllymäki, Teemu Roos and Tommi Jaakkola. HIIT Publications 2010-2.

The book exists only as an electronic version, the ISBN number of which is 978-952-60-3314-3 and the ISSN number is 1458-946X.

List of accepted papers

• John Agosta, Omar Zia Khan, Pascal Poupart: Evaluation results for a query-based diagnostics application
• Babak Ahmadi, Kristian Kersting, Fabian Hadiji: Lifted belief propagation: Pairwise marginals and beyond
• Sourour Ammar, Philippe Leray, François Schnitzler, Louis Wehenkel: Sub-quadratic Markov tree mixture learning based on randomizations of the Chow-Liu algorithm
• Hanen Borchani, Concha Bielza, Pedro Larrañaga: Learning CB-decomposable multi-dimensional Bayesian network classifiers
• Wray Buntine, Lan Du, Petteri Nurmi: Bayesian networks on Dirichlet distributed vectors
• Cory Butz, Wen Yan: The semantics of intermediate CPTs in variable elimination
• Andrès Cano, Manuel Gómez-Olmedo, Serafin Moral, Antonio Salmerón, Cora Pèrez Ariza: Learning recursive probability trees from probabilistic potentials
• Marco Cattaneo: Likelihood-based inference for probabilistic graphical models: Some preliminary results
• Arthur Choi, Adnan Darwiche: On a discrete Dirichlet model
• Morgan Chopin, Pierre-Henri Wuillemin: Optimizing the triangulation of dynamic Bayesian networks
• Tom Claassen, Tom Heskes: Learning causal network structure from multiple (in)dependence models
• Barry Cobb: An influence diagram model for detecting credit card fraud
• Barry Cobb: Continuous decision variables with multiple continuous parents
• Daniele Codetta-Raiteri, Luigi Portinale: Generalized continuous time Bayesian networks and their GSPN semantics
• Adnan Darwiche, Arthur Choi: Same-decision probability: A confidence measure for threshold-based decisions under noisy sensors
• Doris Entner, Patrik Hoyer: On causal discovery from time series data using FCI
• Sander Evers, Peter Lucas: Variable elimination by factor indexing
• Antonio Fernández, Helge Langseth, Thomas Nielsen, Antonio Salmerón: Parameter learning in MTE networks using incomplete data
• Miguel Angel Gómez-Villegas, Paloma Main, Hilario Navarro, Rosario Susi: Dealing with uncertainty in Gaussian Bayesian networks from a regression perspective
• Antti Hyttinen, Frederick Eberhardt, Patrik Hoyer: Causal discovery for linear cyclic models with latent variables
• Finn Jensen, Elena Gatti: Information enhancement for approximate representation of optimal strategies from influence diagrams
• Heejin Lim, Changhe Yuan, Eric Hansen: Scaling up MAP search in Bayesian networks using external memory
• Jan Lemeire, Stijn Meganck, Francesco Cartella: Robust independence-based causal structure learning in absence of adjacency faithfulness
• Peter Lucas, Arjen Hommersom: Modelling the interactions between discrete and continuous causal factors in Bayesian networks
• Wannes Meert, Jan Struyf, Hendrik Blockeel: Contextual variable elimination with overlapping contexts
• Thorsten Ottosen, Jirka Vomlel: All roads lead to Rome—New search methods for optimal triangulations
• Thorsten Ottosen, Jirka Vomlel: Honour thy neighbour—Clique maintenance in dynamic graphs
• Jose Peña: Reading dependencies from polytree-like Bayesian networks revisited
• Silja Renooij: Bayesian network sensitivity to arc-removal
• Silja Renooij: Efficient sensitivity analysis in hidden Markov models
• Alberto Roverato, Robert Castelo: Learning undirected graphical models from multiple datasets with the generalized non-rejection rate
• Milan Studený, Raymond Hemmecke, Silvia Lindner: Characteristic imset: A simple algebraic representative of a Bayesian network structure
• Hongyu Su, Markus Heinonen, Juho Rousu: Multilabel classification of drug-like molecules via max-margin conditional random fields
• Lionel Torti, Pierre-Henri Wuillemin, Christophe Gonzales: Reinforcing the object-oriented aspect of probabilistic relational models
• Yang Xiang: Acquisition and computation issues with NIN-AND tree models
• Demet Özgür-Ünlüakin, Taner Bilgiç: An aggregation and disaggregation procedure for the maintenance of a dynamic system under partial observations