UAI A

80 papers

YearTitle / Authors
1999A Bayesian Network Classifier that Combines a Finite Mixture Model and a NaIve Bayes Model.
Stefano Monti, Gregory F. Cooper
1999A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets.
Daphne Koller, Uri Lerner, Dragomir Anguelov
1999A Hybrid Anytime Algorithm for the Construction of Causal Models From Sparse Data.
Denver Dash, Marek J. Druzdzel
1999A Hybrid Approach to Reasoning with Partially Elicited Preference Models.
Vu A. Ha, Peter Haddawy
1999A Method for Speeding Up Value Iteration in Partially Observable Markov Decision Processes.
Nevin Lianwen Zhang, Stephen S. Lee, Weihong Zhang
1999A New Model of Plan Recognition.
Robert P. Goldman, Christopher W. Geib, Christopher A. Miller
1999A Possibilistic Model for Qualitative Sequential Decision Problems under Uncertainty in Partially Observable Environments.
Régis Sabbadin
1999A Temporal Bayesian Network for Diagnosis and Prediction.
Gustavo Arroyo-Figueroa, Luis Enrique Sucar
1999A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables.
Kevin P. Murphy
1999Accelerating EM: An Empirical Study.
Luis E. Ortiz, Leslie Pack Kaelbling
1999An Application of Uncertain Reasoning to Requirements Engineering.
Philip S. Barry, Kathryn B. Laskey
1999An Update Semantics for Defeasible Obligations.
Leendert W. N. van der Torre, Yao-Hua Tan
1999Approximate Learning in Complex Dynamic Bayesian Networks.
Raffaella Settimi, Jim Q. Smith, A. S. Gargoum
1999Approximate Planning for Factored POMDPs using Belief State Simplification.
David A. McAllester, Satinder Singh
1999Artificial Decision Making Under Uncertainty in Intelligent Buildings.
Magnus Boman, Paul Davidsson, Håkan L. S. Younes
1999Assessing the value of a candidate: Comparing belief function and possibility theories.
Didier Dubois, Michel Grabisch, Henri Prade, Philippe Smets
1999Attention-Sensitive Alerting.
Eric Horvitz, Andy Jacobs, David Hovel
1999Bayes Nets in Educational Assessment: Where the Numbers Come From.
Robert J. Mislevy, Russell G. Almond, Duanli Yan, Linda S. Steinberg
1999Bayesian Control for Concentrating Mixed Nuclear Waste.
Robert L. Welch, Clayton Smith
1999Bayesian Networks for Dependability Analysis: an Application to Digital Control Reliability.
Luigi Portinale, Andrea Bobbio
1999Bayesian Poker.
Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah
1999Causal Discovery from a Mixture of Experimental and Observational Data.
Gregory F. Cooper, Changwon Yoo
1999Choosing Among Interpretations of Probability.
Henry E. Kyburg Jr., Choh Man Teng
1999Comparing Bayesian Network Classifiers.
Jie Cheng, Russell Greiner
1999Contextual Weak Independence in Bayesian Networks.
S. K. Michael Wong, Cory J. Butz
1999Continuous Value Function Approximation for Sequential Bidding Policies.
Craig Boutilier, Moisés Goldszmidt, Bikash Sabata
1999Data Analysis with Bayesian Networks: A Bootstrap Approach.
Nir Friedman, Moisés Goldszmidt, Abraham J. Wyner
1999Discovering the Hidden Structure of Complex Dynamic Systems.
Xavier Boyen, Nir Friedman, Daphne Koller
1999Efficient Value of Information Computation.
Ross D. Shachter
1999Enhancing QPNs for Trade-off Resolution.
Silja Renooij, Linda C. van der Gaag
1999Estimating the Value of Computation in Flexible Information Refinement.
Michael C. Horsch, David L. Poole
1999Evaluation of Distributed Intelligence on the Smart Card.
Kazuo J. Ezawa, Gregory Napiorkowski, Mariusz Kossarski
1999Expected Utility Networks.
Pierfrancesco La Mura, Yoav Shoham
1999Faithful Approximations of Belief Functions.
David Harmanec
1999Fast Learning from Sparse Data.
David Maxwell Chickering, David Heckerman
1999Graphical Representations of Consensus Belief.
David M. Pennock, Michael P. Wellman
1999How to Elicit Many Probabilities.
Linda C. van der Gaag, Silja Renooij, C. L. M. Witteman, Berthe M. P. Aleman, Babs G. Taal
1999Hybrid Probabilistic Programs: Algorithms and Complexity.
Michael I. Dekhtyar, Alex Dekhtyar, V. S. Subrahmanian
1999Inference Networks and the Evaluation of Evidence: Alternative Analyses.
David A. Schum
1999Inference in Multiply Sectioned Bayesian Networks with Extended Shafer-Shenoy and Lazy Propagation.
Yanping Xiang, Finn Verner Jensen
1999Inferring Parameters and Structure of Latent Variable Models by Variational Bayes.
Hagai Attias
1999Lazy Evaluation of Symmetric Bayesian Decision Problems.
Anders L. Madsen, Finn Verner Jensen
1999Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm.
Nir Friedman, Iftach Nachman, Dana Pe'er
1999Learning Bayesian Networks from Incomplete Data with Stochastic Search Algorithms.
James W. Myers, Kathryn B. Laskey, Tod S. Levitt
1999Learning Bayesian Networks with Restricted Causal Interactions.
Julian R. Neil, Chris S. Wallace, Kevin B. Korb
1999Learning Finite-State Controllers for Partially Observable Environments.
Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling
1999Learning Hidden Markov Models with Geometrical Constraints.
Hagit Shatkay
1999Learning Polytrees.
Sanjoy Dasgupta
1999Loglinear models for first-order probabilistic reasoning.
James Cussens
1999Loopy Belief Propagation for Approximate Inference: An Empirical Study.
Kevin P. Murphy, Yair Weiss, Michael I. Jordan
1999Mini-Bucket Heuristics for Improved Search.
Kalev Kask, Rina Dechter
1999Mixture Approximations to Bayesian Networks.
Volker Tresp, Michael Haft, Reimar Hofmann
1999Model based Bayesian Exploration.
Richard Dearden, Nir Friedman, David Andre
1999Multi-objects association in perception of dynamical situation.
Dominique Gruyer, Véronique Berge-Cherfaoui
1999Multiplicative Factorization of Noisy-Max.
Masami Takikawa, Bruce D'Ambrosio
1999My Brain is Full: When More Memory Helps.
Christopher Lusena, Tong Li, Shelia Sittinger, Chris Wells, Judy Goldsmith
1999On Quantified Linguistic Approximation.
Ryszard Kowalczyk
1999On Supervised Selection of Bayesian Networks.
Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri
1999On Transformations between Probability and Spolinian Disbelief Functions.
Phan Hong Giang, Prakash P. Shenoy
1999On the Complexity of Policy Iteration.
Yishay Mansour, Satinder Singh
1999On the Semantics and Automated Deduction for PLFC, a Logic of Possibilistic Uncertainty and Fuzziness.
Teresa Alsinet, Lluís Godo, Sandra A. Sandri
1999Parameter Priors for Directed Acyclic Graphical Models and the Characteriration of Several Probability Distributions.
Dan Geiger, David Heckerman
1999Possibilistic logic bases and possibilistic graphs.
Salem Benferhat, Didier Dubois, Laurent Garcia, Henri Prade
1999Practical Uses of Belief Functions.
Philippe Smets
1999Probabilistic Belief Change: Expansion, Conditioning and Constraining.
Frans Voorbraak
1999Probabilistic Latent Semantic Analysis.
Thomas Hofmann
1999Qualitative Models for Decision Under Uncertainty without the Commensurability Assumption.
Hélène Fargier, Patrice Perny
1999Quantifier Elimination for Statistical Problems.
Dan Geiger, Christopher Meek
1999Random Algorithms for the Loop Cutset Problem.
Ann Becker, Reuven Bar-Yehuda, Dan Geiger
1999Reasoning With Conditional Ceteris Paribus Preference Statements.
Craig Boutilier, Ronen I. Brafman, Holger H. Hoos, David Poole
1999Relative Loss Bounds for On-line Density Estirnation with the Exponential Family of Distributions.
Katy S. Azoury, Manfred K. Warmuth
1999Representing and Combining Partially Specified CPTs.
Suzanne M. Mahoney, Kathryn B. Laskey
1999SPOOK: A system for probabilistic object-oriented knowledge representation.
Avi Pfeffer, Daphne Koller, Brian Milch, Ken T. Takusagawa
1999SPUDD: Stochastic Planning using Decision Diagrams.
Jesse Hoey, Robert St-Aubin, Alan J. Hu, Craig Boutilier
1999Solving POMDPs by Searching the Space of Finite Policies.
Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra
1999The Decision-Theoretic Interactive Video Advisor.
Hien Nguyen, Peter Haddawy
1999Time-Critical Dynamic Decision Making.
Yanping Xiang, Kim-Leng Poh
1999UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30 - August 1, 1999
Kathryn B. Laskey, Henri Prade
1999Variational Learning in Mixed-State Dynamic Graphical Models.
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang
1999Welldefined Decision Scenarios.
Thomas D. Nielsen, Finn Verner Jensen