Accepted papers

• A BAYESIAN APPROACH TO ESTIMATE PROBABILITIES IN CLASSIFICATION TREES
  by Andrés Cano, Andrés Masegosa and Serafín Moral
• A NOVEL SCALABLE AND CORRECT MARKOV BOUNDARY LEARNING ALGORITHMS UNDER FAITHFULNESS CONDITION
  by Sergio Rodrigues de Morais and Alex Aussem
• A* WARS: THE FIGHT FOR IMPROVING A* SEARCH FOR TROUBLESHOOTING WITH DEPENDENT ACTIONS
  by Thorsten J. Ottosen and Finn V. Jensen
• AN ANYTIME ALGORITHM FOR EVALUATING UNCONSTRAINED INFLUENCE DIAGRAMS
  by Manuel Luque, Thomas D. Nielsen, and Finn V. Jensen
• AN EMPIRICAL ANALYSIS OF LOOPY BELIEF PROPAGATION IN THREE TOPOLOGIES: GRIDS, SMALL-WORLD NETWORKS AND RANDOM GRAPHS
  by Roberto Santana, Alexander Mendiburu and Jose A. Lozano
• AN ICI MODEL FOR OPPOSING INFLUENCES
  by Paul Maaskant and Marek Druzdzel
• AN INFLUENCE DIAGRAM FRAMEWORK FOR ACTING UNDER INFLUENCE BY AGENTS WITH UNKNOWN GOALS
  by Nicolaj Søndberg-Jeppesen and Finn Verner Jensen
• A SCORE BASED RANKING OF THE EDGES FOR THE PC ALGORITHM
  by Andres Cano, Manuel Gómez-Olmedo and Serafín Moral
• APPROXIMATE REPRESENTATION OF OPTIMAL STRATEGIES FROM INFLUENCE DIAGRAMS
  by Finn Verner Jensen
• ARITHMETIC CIRCUITS OF THE NOISY-OR MODELS
  by Jirka Vomlel and Petr Savicky
• ATTRIBUTE CLUSTERING BASED ON HEURISTIC TREE PARTITION
  by Jorge Cordero Hernandez and Yifeng Zeng
• BAYESIAN NETWORKS: THE QUANTITATIVE PARENTAL SYNERGY
  by Janneke H. Bolt
• CARMEN: AN OPEN SOURCE PROJECT FOR PROBABILISTIC GRAPHICAL MODELS
  by Manuel Arias and Francisco Javier Diez
• COMPLEXITY RESULTS FOR ENUMERATING MPE AND PARTIAL MAP
  by Johan Kwisthout
• COMPUTING THE MULTINOMIAL STOCHASTIC COMPLEXITY IN SUB-LINEAR TIME
  by Tommi Mononen and Petri Myllymäki
• DISCRIMINATION AND ITS SENSITIVITY IN PROBABILISTIC NETWORKS
  by Silja Renooij and Linda C. van der Gaag
• EFFICIENT BAYESIAN NETWORK LEARNING USING PAIRWISE DELETION
  by Olivier Francois
• EFFICIENT MODEL EVALUATION IN THE SEARCH-BASED APPROACH TO LATENT STRUCTURE DISCOVERY
  by Tao Chen, Nevin L. Zhang and Yi Wang
• ELICITING EXPERT BELIEFS ON THE STRUCTURE OF A BAYESIAN NETWORK
  by Federico M. Stefanini
• FACTORIZED NORMALIZED MAXIMUM LIKELIHOOD CRITERION FOR LEARNING BAYESIAN NETWORK STRUCTURES
  by Tomi Silander, Teemu Roos, Petri Kontkanen and Petri Myllymäki
• GENERALIZED LOOPY 2U: A NEW ALGORITHM FOR APPROXIMATE INFERENCE IN CREDAL NETWORKS
  by Alessandro Antonucci, Marco Zaffalon, Yi Sun, and Cassio P. de Campos
• HIGH-DIMENSIONAL PROBABILITY DENSITY ESTIMATION WITH RANDOMIZED ENSEMBLES OF TREE STRUCTURED BAYESIAN NETWORKS
  by Sourour Ammar, Philippe Leray, Boris Defourny and Louis Wehenkel
• LARGE INCOMPLETE SAMPLE ROBUSTNESS IN BAYESIAN NETWORKS
  by Jim Smith and Alireza Daneshkhah
• LEARNING NAIVE BAYES REGRESSION MODELS FROM MISSING DATA USING MIXTURES OF TRUNCATED EXPONENTIALS
  by Antonio Fernández, Jens D. Nielsen and Antonio Salmerón
• LOGICAL PROPERTIES OF STABLE CONDITIONAL INDEPENDENCE
  by Mathias Niepert and Dirk Van Gucht
• MARGINALS OF DAG-ISOMORPHIC INDEPENDENCE MODELS
  by Peter R. de Waal
• MEASURING EFFICIENCY IN INFLUENCE DIAGRAM MODELS
  by Barry Cobb
• NEW METHODS FOR MARGINALIZATION IN LAZY PROPAGATION
  by Anders Madsen
• A GEOMETRIC APPROACH TO LEARNING BN STRUCTURES
  by Milan Studeny and Jiri Vomlel
• PARAMETER EXTIMATION IN MIXTURES OF TRUNCATED EXPONENTIALS
  by Helge Langseth, Thomas D. Nielsen, Rafael Rumi, and Antonio Salmeron
• PERTURBING A SET OF INACCURACIES PARAMETERS IN GAUSSIAN BAYESIAN NETWORKS
  by Rosario Susi, Miguel A. Gómez-Villegas and Paloma Main
• POLICY EXPLANATION IN FACTORED MARKOV DECISION PROCESSES
  by Francisco Elizalde, Enrique Sucar, Manuel Luque, Javier Díez and Alberto Reyes
• QUERY-BASED DIAGNOSTICS
  by John Mark Agosta, Tom Gardos and Marek Druzdzel
• ROBUST CLASSIFICATION USING MIXTURES OF DEPENDENCY NETWORKS
  by Jose A. Gamez, Juan L. Mateo, Thomas D. Nielsen, and Jose M. Puerta
• SOLVING CLQG INFLUENCE DIAGRAMS USING ARC-REVERSAL
  by Anders Madsen
• STRUCTURAL-EM FOR LEARNING PDG MODELS FROM INCOMPLETE DATA
  by Jens Nielsen, Rafael Rumí and Antonio Salmerón
• THE PROBABILISTIC INTERPRETATION OF MODEL-BASED DIAGNOSIS
  by Ildiko Flesch and Peter Lucas
• TIGHTLY AND LOOSELY COUPLED DECISION PARADIGMS IN MULTIAGENT EXPEDITION
  by Yang Xiang and Franklin Hanshar
• TOWARDS CONSISTENCY IN GENERAL DEPENDENCY NETWORKS
  by José A. Gámez, Juan L. Mateo and José M. Puerta

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