Conferences in DBLP
Teresa Alsinet , Lluis Godo A Complete Calcultis for Possibilistic Logic Programming with Fuzzy Propositional Variables. [Citation Graph (0, 0)][DBLP ] Conf ] Christophe Andrieu , Nando de Freitas , Arnaud Doucet Reversible Jump MCMC Simulated Annealing for Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Ann Becker , Dan Geiger , Christopher Meek Perfect Tree-like Markovian Distributions. [Citation Graph (0, 0)][DBLP ] Conf ] Souhila Kaci , Salem Benferhat , Didier Dubois , Henri Prade A principled analysis of merging operations in possibilistic logic. [Citation Graph (0, 0)][DBLP ] Conf ] Daniel S. Bernstein , Shlomo Zilberstein , Neil Immerman The Complexity of Decentralized Control of Markov Decision Processes. [Citation Graph (0, 0)][DBLP ] Conf ] Jeff Bilmes Dynamic Bayesian Multinets. [Citation Graph (0, 0)][DBLP ] Conf ] Christopher M. Bishop , Michael E. Tipping Variational Relevance Vector Machines. [Citation Graph (0, 0)][DBLP ] Conf ] Craig Boutilier Approximately Optimal Monitoring of Plan Preconditions. [Citation Graph (0, 0)][DBLP ] Conf ] Urszula Chajewska , Daphne Koller Utilities as Random Variables: Density Estimation and Structure Discovery. [Citation Graph (0, 0)][DBLP ] Conf ] Jian Cheng , Marek J. Druzdzel Computational Investigation of Low-Discrepancy Sequences in Simulation Algorithms for Bayesian Networks. [Citation Graph (0, 0)][DBLP ] Conf ] David Maxwell Chickering , David Heckerman A Decision Theoretic Approach to Targeted Advertising. [Citation Graph (0, 0)][DBLP ] Conf ] Frans Coetzee , Steve Lawrence , C. Lee Giles Bayesian Classification and Feature Selection from Finite Data Sets. [Citation Graph (0, 0)][DBLP ] Conf ] Gregory F. Cooper A Bayesian Method for Causal Modeling and Discovery Under Selection. [Citation Graph (0, 0)][DBLP ] Conf ] Fabio Gagliardi Cozman Separation Properties of Sets of Probability Measures. [Citation Graph (0, 0)][DBLP ] Conf ] James Cussens Stochastic Logic Programs: Sampling, Inference and Applications. [Citation Graph (0, 0)][DBLP ] Conf ] Adnan Darwiche A Differential Approach to Inference in Bayesian Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Adnan Darwiche Any-Space Probabilistic Inference. [Citation Graph (0, 0)][DBLP ] Conf ] Sanjoy Dasgupta Experiments with Random Projection. [Citation Graph (0, 0)][DBLP ] Conf ] Sanjoy Dasgupta , Leonard J. Schulman A Two-Round Variant of EM for Gaussian Mixtures. [Citation Graph (0, 0)][DBLP ] Conf ] Ian Davidson Minimum Message Length Clustering Using Gibbs Sampling. [Citation Graph (0, 0)][DBLP ] Conf ] Scott Davies , Andrew W. Moore Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks with Mixed Continuous And Discrete Variables. [Citation Graph (0, 0)][DBLP ] Conf ] Arnaud Doucet , Nando de Freitas , Kevin P. Murphy , Stuart J. Russell Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Brendan J. Frey , Nebojsa Jojic Learning Graphical Models of Images, Videos and Their Spatial Transformations. [Citation Graph (0, 0)][DBLP ] Conf ] Nir Friedman , Dan Geiger , Noam Lotner Likelihood Computations Using Value Abstraction. [Citation Graph (0, 0)][DBLP ] Conf ] Nir Friedman , Daphne Koller Being Bayesian about Network Structure. [Citation Graph (0, 0)][DBLP ] Conf ] Nir Friedman , Iftach Nachman Gaussian Process Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Phan Hong Giang , Prakash P. Shenoy A Qualitative Linear Utility Theory for Spohn's Theory of Epistemic Beliefs. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Gorniak , David Poole Building a Stochastic Dynamic Model of Application Use. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Grünwald Maximum Entropy and the Glasses You are Looking Through. [Citation Graph (0, 0)][DBLP ] Conf ] Joseph Y. Halpern Conditional Plausibility Measures and Bayesian Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Michael Harvey , Radford M. Neal Inference for Belief Networks Using Coupling From the Past. [Citation Graph (0, 0)][DBLP ] Conf ] David Heckerman , David Maxwell Chickering , Christopher Meek , Robert Rounthwaite , Carl Myers Kadie Dependency Networks for Collaborative Filtering and Data Visualization. [Citation Graph (0, 0)][DBLP ] Conf ] Søren Højsgaard YGGDRASIL-A statistical package for learning Split Models. [Citation Graph (0, 0)][DBLP ] Conf ] Michael C. Horsch , William S. Havens Probabilistic Arc Consistency: A Connection between Constraint Reasoning and Probabilistic Reasoning. [Citation Graph (0, 0)][DBLP ] Conf ] Tony Jebara , Tommi Jaakkola Feature Selection and Dualities in Maximum Entropy Discrimination. [Citation Graph (0, 0)][DBLP ] Conf ] Radim Jirousek Marginalization in Composed Probabilistic Models. [Citation Graph (0, 0)][DBLP ] Conf ] Michael J. Kearns , Yishay Mansour , Satinder P. Singh Fast Planning in Stochastic Games. [Citation Graph (0, 0)][DBLP ] Conf ] Uffe Kjærulff , Linda C. van der Gaag Making Sensitivity Analysis Computationally Efficient. [Citation Graph (0, 0)][DBLP ] Conf ] Daphne Koller , Ronald Parr Policy Iteration for Factored MDPs. [Citation Graph (0, 0)][DBLP ] Conf ] Pierfrancesco La Mura Game Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Pedro Larrañaga , Ramon Etxeberria , José Antonio Lozano , José Manuel Peña Combinatonal Optimization by Learning and Simulation of Bayesian Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Tsai-Ching Lu , Marek J. Druzdzel , Tze-Yun Leong Causal Mechanism-based Model Constructions. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas Lukasiewicz Credal Networks under Maximum Entropy. [Citation Graph (0, 0)][DBLP ] Conf ] Peter McBurney , Simon Parsons Risk Agoras: Dialectical Argumentation for Scientific Reasoning. [Citation Graph (0, 0)][DBLP ] Conf ] Marina Meila , Tommi Jaakkola Tractable Bayesian Learning of Tree Belief Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Brian Milch , Daphne Koller Probabilistic Models for Agent's Beliefs and Decisions. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew W. Moore The Anchors Hierarchy: Using the Triangle Inequality to Survive High Dimensional Data. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew Y. Ng , Michael I. Jordan PEGASUS: A policy search method for large MDPs and POMDPs. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas D. Nielsen , Finn Verner Jensen Representing and Solving Asymmetric Bayesian Decision Problems. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas D. Nielsen , Pierre-Henri Wuillemin , Finn Verner Jensen , Uffe Kjærulff Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example. [Citation Graph (0, 0)][DBLP ] Conf ] Dennis Nilsson , Steffen L. Lauritzen Evaluating Influence Diagrams using LIMIDs. [Citation Graph (0, 0)][DBLP ] Conf ] Luis E. Ortiz , Leslie Pack Kaelbling Adaptive Importance Sampling for Estimation in Structured Domains. [Citation Graph (0, 0)][DBLP ] Conf ] Tim Paek , Eric Horvitz Conversation as Action Under Uncertainty. [Citation Graph (0, 0)][DBLP ] Conf ] Dmitry Pavlov , Heikki Mannila , Padhraic Smyth Probabilistic Models for Query Approximation with Large Sparse Binary Data Sets. [Citation Graph (0, 0)][DBLP ] Conf ] David M. Pennock , Eric Horvitz , Steve Lawrence , C. Lee Giles Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach. [Citation Graph (0, 0)][DBLP ] Conf ] David M. Pennock , Michael P. Wellman Compact Securities Markets for Pareto Optimal Reallocation of Risk. [Citation Graph (0, 0)][DBLP ] Conf ] Leonid Peshkin , Kee-Eung Kim , Nicolas Meuleau , Leslie Pack Kaelbling Learning to Cooperate via Policy Search. [Citation Graph (0, 0)][DBLP ] Conf ] Pascal Poupart , Craig Boutilier Value-Directed Belief State Approximation for POMDPs. [Citation Graph (0, 0)][DBLP ] Conf ] David V. Pynadath , Michael P. Wellman Probabilistic State-Dependent Grammars for Plan Recognition. [Citation Graph (0, 0)][DBLP ] Conf ] Silja Renooij , Linda C. van der Gaag , Simon Parsons , Shaw Green Pivotal Pruning of Trade-offs in QPNs. [Citation Graph (0, 0)][DBLP ] Conf ] Dale Schuurmans , Finnegan Southey Monte Carlo inference via greedy importance sampling. [Citation Graph (0, 0)][DBLP ] Conf ] Marc Sebban , Richard Nock Combining Feature and Example Pruning by Uncertainty Minimization. [Citation Graph (0, 0)][DBLP ] Conf ] Satinder P. Singh , Michael J. Kearns , Yishay Mansour Nash Convergence of Gradient Dynamics in General-Sum Games. [Citation Graph (0, 0)][DBLP ] Conf ] Claus Skaanning A Knowledge Acquisition Tool for Bayesian-Network Troubleshooters. [Citation Graph (0, 0)][DBLP ] Conf ] Harald Steck On the Use of Skeletons when Learning in Bayesian Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Amos J. Storkey Dynamic Trees: A Structured Variational Method Giving Efficient Propagation Rules. [Citation Graph (0, 0)][DBLP ] Conf ] Loo-Nin Teow , Kia-Fock Loe An Uncertainty Framework for Classification. [Citation Graph (0, 0)][DBLP ] Conf ] Jin Tian A Branch-and-Bound Algorithm for MDL Learning Bayesian Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Jin Tian , Judea Pearl Probabilities of Causation: Bounds and Identification. [Citation Graph (0, 0)][DBLP ] Conf ] Shivakumar Vaithyanathan , Byron Dom Model-Based Hierarchical Clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Jirina Vejnarová Conditional Independence and Markov Properties in Possibility Theory. [Citation Graph (0, 0)][DBLP ] Conf ] Haiqin Wang , Marek J. Druzdzel User Interface Tools for Navigation in Conditional Probability Tables and Elicitation of Probabilities in Bayesian Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Wim Wiegerinck Variational Approximations between Mean Field Theory and the Junction Tree Algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] David M. Williamson , Russell Almond , Robert Mislevy Model Criticism of Bayesian Networks with Latent Variables. [Citation Graph (0, 0)][DBLP ] Conf ] Frank Wittig , Anthony Jameson Exploiting Qualitative Knowledge in the Learning of Conditional Probabilities of Bayesian Networks. [Citation Graph (0, 0)][DBLP ] Conf ] 