UAI A

72 papers

YearTitle / Authors
2001A Bayesian Approach to Tackling Hard Computational Problems.
Eric Horvitz, Yongshao Ruan, Carla P. Gomes, Henry A. Kautz, Bart Selman, David Maxwell Chickering
2001A Bayesian Multiresolution Independence Test for Continuous Variables.
Dimitris Margaritis, Sebastian Thrun
2001A Calculus for Causal Relevance.
Blai Bonet
2001A Case Study in Knowledge Discovery and Elicitation in an Intelligent Tutoring Application.
Ann E. Nicholson, Tal Boneh, Tim A. Wilkin, Kaye Stacey, Liz Sonenberg, Vicki Steinle
2001A Clustering Approach to Solving Large Stochastic Matching Problems.
Milos Hauskrecht, Eli Upfal
2001A Comparison of Axiomatic Approaches to Qualitative Decision Making Using Possibility Theory.
Phan Hong Giang, Prakash P. Shenoy
2001A Dynamic Programming Model for Determining Bidding Strategies in Sequential Auctions: Quasi-linear Utility and Budget Constraints.
Hiromitsu Hattori, Makoto Yokoo, Yuko Sakurai, Toramatsu Shintani
2001A Factorized Variational Technique for Phase Unwrapping in Markov Random Field.
Kannan Achan, Brendan J. Frey, Ralf Koetter
2001A Logic for Reasoning about Upper Probabilities.
Joseph Y. Halpern, Riccardo Pucella
2001A Mixed Graphical Model for Rhythmic Parsing.
Christopher Raphael
2001A Tractable POMDP for Dynamic Sequencing with Applications to Personalized Internet Content Provision.
Paat Rusmevichientong, Benjamin Van Roy
2001Aggregating Learned Probabilistic Beliefs.
Pedrito Maynard-Reid II, Urszula Chajewska
2001Analysing Sensitivity Data from Probabilistic Networks.
Linda C. van der Gaag, Silja Renooij
2001Approximating MAP using Local Search.
James D. Park, Adnan Darwiche
2001Bayesian Error-Bars for Belief Net Inference.
Tim Van Allen, Russell Greiner, Peter Hooper
2001Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation.
Max Welling, Yee Whye Teh
2001Causal Discovery from Changes.
Jin Tian, Judea Pearl
2001Causes and Explanations: A Structural-Model Approach: Part 1: Causes.
Joseph Y. Halpern, Judea Pearl
2001Classifier Learning with Supervised Marginal Likelihood.
Petri Kontkanen, Petri Myllymäki, Henry Tirri
2001Conditions Under Which Conditional Independence and Scoring Methods Lead to Identical Selection of Bayesian Network Models.
Robert G. Cowell
2001Confidence Inference in Bayesian Networks.
Jian Cheng, Marek J. Druzdzel
2001Cross-covariance modelling via DAGs with hidden variables.
Jacob A. Wegelin, Thomas S. Richardson
2001Decision-Theoretic Planning with Concurrent Temporally Extended Actions.
Khashayar Rohanimanesh, Sridhar Mahadevan
2001Direct and Indirect Effects.
Judea Pearl
2001Discovering Multiple Constraints that are Frequently Approximately Satisfied.
Geoffrey E. Hinton, Yee Whye Teh
2001Efficient Approximation for Triangulation of Minimum Treewidth.
Eyal Amir
2001Efficient Stepwise Selection in Decomposable Models.
Amol Deshpande, Minos N. Garofalakis, Michael I. Jordan
2001Enumerating Markov Equivalence Classes of Acyclic Digraph Models.
Steven B. Gillispie, Michael D. Perlman
2001Estimating Well-Performing Bayesian Networks using Bernoulli Mixtures.
Geoff A. Jarrad
2001Exact Inference in Networks with Discrete Children of Continuous Parents.
Uri Lerner, Eran Segal, Daphne Koller
2001Expectation Propagation for approximate Bayesian inference.
Thomas P. Minka
2001Graphical Models for Game Theory.
Michael J. Kearns, Michael L. Littman, Satinder Singh
2001Graphical readings of possibilistic logic bases.
Salem Benferhat, Didier Dubois, Souhila Kaci, Henri Prade
2001Hybrid Processing of Beliefs and Constraints.
Rina Dechter, David Larkin
2001Hypothesis Management in Situation-Specific Network Construction.
Kathryn B. Laskey, Suzanne M. Mahoney, Ed Wright
2001Improved learning of Bayesian networks.
Tomás Kocka, Robert Castelo
2001Incorporating Expressive Graphical Models in VariationalApproximations: Chain-graphs and Hidden Variables.
Tal El-Hay, Nir Friedman
2001Inference in Hybrid Networks: Theoretical Limits and Practical Algorithms.
Uri Lerner, Ronald Parr
2001Instrumentality Tests Revisited.
Blai Bonet
2001Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk.
John D. Lafferty, Larry A. Wasserman
2001Lattice Particle Filters.
Dirk Ormoneit, Christiane Lemieux, David J. Fleet
2001Learning the Dimensionality of Hidden Variables.
Gal Elidan, Nir Friedman
2001Linearity Properties of Bayes Nets with Binary Variables.
David Danks, Clark Glymour
2001Markov Chain Monte Carlo using Tree-Based Priors on Model Structure.
Nicos Angelopoulos, James Cussens
2001Maximum Likelihood Bounded Tree-Width Markov Networks.
Nathan Srebro
2001Multivariate Information Bottleneck.
Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby
2001On characterizing Inclusion of Bayesian Networks.
Tomás Kocka, Remco R. Bouckaert, Milan Studený
2001Planning and Acting under Uncertainty: A New Model for Spoken Dialogue System.
Bo Zhang, Qingsheng Cai, Jianfeng Mao, Baining Guo
2001Plausible reasoning from spatial observations.
Jérôme Lang, Philippe Muller
2001Policy Improvement for POMDPs Using Normalized Importance Sampling.
Christian R. Shelton
2001Pre-processing for Triangulation of Probabilistic Networks.
Hans L. Bodlaender, Arie M. C. A. Koster, Frank van den Eijkhof, Linda C. van der Gaag
2001Probabilistic Logic Programming under Inheritance with Overriding.
Thomas Lukasiewicz
2001Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments.
Alexandrin Popescul, Lyle H. Ungar, David M. Pennock, Steve Lawrence
2001Recognition Networks for Approximate Inference in BN20 Networks.
Quaid Morris
2001Robust Combination of Local Controllers.
Carlos Guestrin, Dirk Ormoneit
2001Semi-Instrumental Variables: A Test for Instrument Admissibility.
Tianjiao Chu, Richard Scheines, Peter Spirtes
2001Similarity Measures on Preference Structures, Part II: Utility Functions.
Vu A. Ha, Peter Haddawy, John Miyamoto
2001Solving Influence Diagrams using HUGIN, Shafer-Shenoy and Lazy Propagation.
Anders L. Madsen, Dennis Nilsson
2001Statistical Modeling in Continuous Speech Recognition (CSR).
Steve J. Young
2001Sufficiency, Separability and Temporal Probabilistic Models.
Avi Pfeffer
2001Symmetric Collaborative Filtering Using the Noisy Sensor Model.
Rita Sharma, David Poole
2001The Factored Frontier Algorithm for Approximate Inference in DBNs.
Kevin P. Murphy, Yair Weiss
2001The Optimal Reward Baseline for Gradient-Based Reinforcement Learning.
Lex Weaver, Nigel Tao
2001Toward General Analysis of Recursive Probability Models.
Daniel Pless, George F. Luger
2001UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, University of Washington, Seattle, Washington, USA, August 2-5, 2001
Jack S. Breese, Daphne Koller
2001UCP-Networks: A Directed Graphical Representation of Conditional Utilities.
Craig Boutilier, Fahiem Bacchus, Ronen I. Brafman
2001Using Bayesian Networks to Identify the Causal Effect of Speeding in Individual Vehicle/Pedestrian Collisions.
Gary A. Davis
2001Using Temporal Data for Making Recommendations.
Andrew Zimdars, David Maxwell Chickering, Christopher Meek
2001Value-Directed Sampling Methods for POMDPs.
Pascal Poupart, Luis E. Ortiz, Craig Boutilier
2001Variational MCMC.
Nando de Freitas, Pedro A. d. F. R. Højen-Sørensen, Stuart Russell
2001Vector-space Analysis of Belief-state Approximation for POMDPs.
Pascal Poupart, Craig Boutilier
2001When do Numbers Really Matter?
Hei Chan, Adnan Darwiche