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ORCIDPGM 2002: Cuenca, Spain
- José A. Gámez, Antonio Salmerón:
First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002 - Cuenca (Spain), Electronic Proceedings. 2002 - David Allen, Adnan Darwiche:
Optimal Time-Space Tradeoff in Probabilistic Inference. - Rosa Blanco, Iñaki Inza, Pedro Larrañaga:
Floating Search Methods in Learning Bayesian Networks. - Robert Castelo, Michael D. Perlman:
Learning Essential Graph Markov Models From Data. - Alireza Daneshkhah, Jim Q. Smith:
Multicausal Prior Families, Randomisation and Essential Graphs. - Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete:
Reducing Propagation Effort in Large Polytrees: An Application to Information Retrieval. - Luis M. de Campos, José A. Gámez, José Miguel Puerta:
Graphical Models to Causal Discovery from Data. - Murat Deviren, Khalid Daoudi:
Continuous Speech Recognition Using Dynamic Bayesian Networks. A Fast Decoding Algorithm. - Juan A. Fernández del Pozo, Concha Bielza:
New Structures for Conditional Probability Tables. - Mark Hopkins, Adnan Darwiche:
A Practical Relaxation of Constant-Factor Treewidth Approximation Algorithms. - Manfred Jaeger:
Probabilistic Decision Graphs - Combining Verification and AI Techniques for Probabilistic Inference. - Kristian Kersting, Niels Landwehr:
Scaled Conjugate Gradients for Maximum Likelihood: An Empirical Comparison with the EM Algorithm. - Kristian Kersting, Tapani Raiko, Luc De Raedt:
Logical Hidden Markov Models (Extendes abstract). - Tsai-Ching Lu, Marek J. Druzdzel:
Causal Models, Value of Intervention, and Search for Opportunities. - Peter J. F. Lucas:
Restricted Bayesian Network Structure Learning. - Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón:
Factorisation of Probability Trees and its Application to Inference in Bayesian Networks. - Serafín Moral, Rafael Rumí, Antonio Salmerón:
Estimating Mixtures of Truncated Exponentials from Data. - José M. Peña, José Antonio Lozano, Pedro Larrañaga:
Unsupervised Learning of Bayesian Networks Via Estimation of Distribution Algorithms. - Roberto O. Puch, Jim Q. Smith, Concha Bielza:
Inferentially Efficient Propagation in Non-Decomposable Bayesian Network with Hierarchical Junction Trees. - Milan Studený:
Characterization of Essential Graphs by Means of an Operation of Legal Component Merging. - Miguel A. Virto, Jacinto Martín, David Ríos Insua, Arminda Moreno-Díaz:
Approximate Solutions of Complex Influence Diagrams through MCMC Methods. - Jirí Vomlel:
Bayesian Networks in Educational Testing. - Marta Vomlelová, Finn Verner Jensen:
An Extension of Lazy Evaluation for Influence Diagrams Avoiding Redundant Variables in the Potentials. - Y. Xiang, X. Chen:
Cooperative Verification of Agent Interface. - Yusuf Kenan Yilmaz, Ethem Alpaydin, H. Levent Akin, Taner Bilgiç:
Handling of Deterministic Relationships in Constraint-based Causal Discovery. - Frank Jensen, Uffe Kjærulff, Michael Lang, Anders L. Madsen:
Hugin - The Tool for Bayesian Networks and Influence Diagrams. - Elvira: An Environment for Creating and Using Probabilistic Graphical Models.
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last updated on 2024-09-29 00:25 CEST by the dblp team
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