UAI 1999

79 papers

A Bayesian Network Classifier That Combines a Finite Mixture Model and a NaIve Bayes Model Stefano Monti, Gregory F. Cooper

A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets Daphne Koller, Uri Lerner, Dragomir Anguelov

A Hybrid Anytime Algorithm for the Construction of Causal Models from Sparse Data Denver Dash, Marek J. Druzdzel

A Hybrid Approach to Reasoning with Partially Elicited Preference Models Vu A. Ha, Peter Haddawy

A Method for Speeding up Value Iteration in Partially Observable Markov Decision Processes Nevin Lianwen Zhang, Stephen S. Lee, Weihong Zhang

A New Model of Plan Recognition Robert P. Goldman, Christopher W. Geib, Christopher A. Miller

A Possibilistic Model for Qualitative Sequential Decision Problems Under Uncertainty in Partially Observable Environments Régis Sabbadin

A Temporal Bayesian Network for Diagnosis and Prediction Gustavo Arroyo-Figueroa, Luis Enrique Sucar

A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables Kevin P. Murphy

Accelerating EM: An Empirical Study Luis E. Ortiz, Leslie Pack Kaelbling

An Application of Uncertain Reasoning to Requirements Engineering Philip S. Barry, Kathryn B. Laskey

An Update Semantics for Defeasible Obligations Leendert W. N. van der Torre, Yao-Hua Tan

Approximate Learning in Complex Dynamic Bayesian Networks Raffaella Settimi, Jim Q. Smith, A. S. Gargoum

Approximate Planning for Factored POMDPs Using Belief State Simplification David A. McAllester, Satinder Singh

Artificial Decision Making Under Uncertainty in Intelligent Buildings Magnus Boman, Paul Davidsson, Håkan L. S. Younes

Assessing the Value of a Candidate: Comparing Belief Function and Possibility Theories Didier Dubois, Michel Grabisch, Henri Prade, Philippe Smets

Attention-Sensitive Alerting Eric Horvitz, Andy Jacobs, David Hovel

Bayes Nets in Educational Assessment: Where the Numbers Come from Robert J. Mislevy, Russell G. Almond, Duanli Yan, Linda S. Steinberg

Bayesian Control for Concentrating Mixed Nuclear Waste Robert L. Welch, Clayton Smith

Bayesian Networks for Dependability Analysis: An Application to Digital Control Reliability Luigi Portinale, Andrea Bobbio

Bayesian Poker Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah

Causal Discovery from a Mixture of Experimental and Observational Data Gregory F. Cooper, Changwon Yoo

Choosing Among Interpretations of Probability Henry E. Kyburg Jr., Choh Man Teng

Comparing Bayesian Network Classifiers Jie Cheng, Russell Greiner

Contextual Weak Independence in Bayesian Networks S. K. Michael Wong, Cory J. Butz

Continuous Value Function Approximation for Sequential Bidding Policies Craig Boutilier, Moisés Goldszmidt, Bikash Sabata

Data Analysis with Bayesian Networks: A Bootstrap Approach Nir Friedman, Moisés Goldszmidt, Abraham J. Wyner

Discovering the Hidden Structure of Complex Dynamic Systems Xavier Boyen, Nir Friedman, Daphne Koller

Efficient Value of Information Computation Ross D. Shachter

Enhancing QPNs for Trade-Off Resolution Silja Renooij, Linda C. van der Gaag

Estimating the Value of Computation in Flexible Information Refinement Michael C. Horsch, David L. Poole

Evaluation of Distributed Intelligence on the Smart Card Kazuo J. Ezawa, Gregory Napiorkowski, Mariusz Kossarski

Expected Utility Networks Pierfrancesco La Mura, Yoav Shoham

Faithful Approximations of Belief Functions David Harmanec

Fast Learning from Sparse Data David Maxwell Chickering, David Heckerman

Graphical Representations of Consensus Belief David M. Pennock, Michael P. Wellman

How to Elicit Many Probabilities Linda C. van der Gaag, Silja Renooij, C. L. M. Witteman, Berthe M. P. Aleman, Babs G. Taal

Hybrid Probabilistic Programs: Algorithms and Complexity Michael I. Dekhtyar, Alex Dekhtyar, V. S. Subrahmanian

Inference in Multiply Sectioned Bayesian Networks with Extended Shafer-Shenoy and Lazy Propagation Yanping Xiang, Finn Verner Jensen

Inference Networks and the Evaluation of Evidence: Alternative Analyses David A. Schum

Inferring Parameters and Structure of Latent Variable Models by Variational Bayes Hagai Attias

Lazy Evaluation of Symmetric Bayesian Decision Problems Anders L. Madsen, Finn Verner Jensen

Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm Nir Friedman, Iftach Nachman, Dana Pe'er

Learning Bayesian Networks from Incomplete Data with Stochastic Search Algorithms James W. Myers, Kathryn B. Laskey, Tod S. Levitt

Learning Bayesian Networks with Restricted Causal Interactions Julian R. Neil, Chris S. Wallace, Kevin B. Korb

Learning Finite-State Controllers for Partially Observable Environments Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling

Learning Hidden Markov Models with Geometrical Constraints Hagit Shatkay

Learning Polytrees Sanjoy Dasgupta

Loglinear Models for First-Order Probabilistic Reasoning James Cussens

Loopy Belief Propagation for Approximate Inference: An Empirical Study Kevin P. Murphy, Yair Weiss, Michael I. Jordan

Mini-Bucket Heuristics for Improved Search Kalev Kask, Rina Dechter

Mixture Approximations to Bayesian Networks Volker Tresp, Michael Haft, Reimar Hofmann

Model Based Bayesian Exploration Richard Dearden, Nir Friedman, David Andre

Multi-Objects Association in Perception of Dynamical Situation Dominique Gruyer, Véronique Berge-Cherfaoui

Multiplicative Factorization of Noisy-Max Masami Takikawa, Bruce D'Ambrosio

My Brain Is Full: When More Memory Helps Christopher Lusena, Tong Li, Shelia Sittinger, Chris Wells, Judy Goldsmith

On Quantified Linguistic Approximation Ryszard Kowalczyk

On Supervised Selection of Bayesian Networks Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

On the Complexity of Policy Iteration Yishay Mansour, Satinder Singh

On the Semantics and Automated Deduction for PLFC, a Logic of Possibilistic Uncertainty and Fuzziness Teresa Alsinet, Lluís Godo, Sandra A. Sandri

On Transformations Between Probability and Spolinian Disbelief Functions Phan Hong Giang, Prakash P. Shenoy

Parameter Priors for Directed Acyclic Graphical Models and the Characteriration of Several Probability Distributions Dan Geiger, David Heckerman

Possibilistic Logic Bases and Possibilistic Graphs Salem Benferhat, Didier Dubois, Laurent Garcia, Henri Prade

Practical Uses of Belief Functions Philippe Smets

Probabilistic Belief Change: Expansion, Conditioning and Constraining Frans Voorbraak

Probabilistic Latent Semantic Analysis Thomas Hofmann

Qualitative Models for Decision Under Uncertainty Without the Commensurability Assumption Hélène Fargier, Patrice Perny

Quantifier Elimination for Statistical Problems Dan Geiger, Christopher Meek

Random Algorithms for the Loop Cutset Problem Ann Becker, Reuven Bar-Yehuda, Dan Geiger

Reasoning with Conditional Ceteris Paribus Preference Statements Craig Boutilier, Ronen I. Brafman, Holger H. Hoos, David Poole

Relative Loss Bounds for On-Line Density Estirnation with the Exponential Family of Distributions Katy S. Azoury, Manfred K. Warmuth

Representing and Combining Partially Specified CPTs Suzanne M. Mahoney, Kathryn B. Laskey

Solving POMDPs by Searching the Space of Finite Policies Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra

SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation Avi Pfeffer, Daphne Koller, Brian Milch, Ken T. Takusagawa

SPUDD: Stochastic Planning Using Decision Diagrams Jesse Hoey, Robert St-Aubin, Alan J. Hu, Craig Boutilier

The Decision-Theoretic Interactive Video Advisor Hien Nguyen, Peter Haddawy

Time-Critical Dynamic Decision Making Yanping Xiang, Kim-Leng Poh

Variational Learning in Mixed-State Dynamic Graphical Models Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang

Welldefined Decision Scenarios Thomas D. Nielsen, Finn Verner Jensen