UAI 1998

63 papers

A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions Vasilica Lepar, Prakash P. Shenoy

A Hybrid Algorithm to Compute Marginal and Joint Beliefs in Bayesian Networks and Its Complexity Mark Bloemeke, Marco Valtorta

A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data Stefano Monti, Gregory F. Cooper

An Anytime Algorithm for Decision Making Under Uncertainty Michael C. Horsch, David L. Poole

An Experimental Comparison of Several Clustering and Initialization Methods Marina Meila, David Heckerman

Any Time Probabilistic Reasoning for Sensor Validation Pablo H. Ibargüengoytia, Luis Enrique Sucar, Sunil Vadera

Axiomatizing Causal Reasoning Joseph Y. Halpern

Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams) Ross D. Shachter

Bayesian Networks from the Point of View of Chain Graphs Milan Studený

Comparative Uncertainty, Belief Functions and Accepted Beliefs Didier Dubois, Hélène Fargier, Henri Prade

Constructing Situation Specific Belief Networks Suzanne M. Mahoney, Kathryn B. Laskey

Context-Specific Approximation in Probabilistic Inference David Poole

Dealing with Uncertainty in Situation Assessment: Towards a Symbolic Approach Charles Castel, Corine Cossart, Catherine Tessier

Dealing with Uncertainty on the Initial State of a Petri Net Iman Jarkass, Michèle Rombaut

Decision Theoretic Foundations of Graphical Model Selection Paola Sebastiani, Marco Ramoni

Dynamic Jointrees Adnan Darwiche

Empirical Analysis of Predictive Algorithms for Collaborative Filtering John S. Breese, David Heckerman, Carl Myers Kadie

Empirical Evaluation of Approximation Algorithms for Probabilistic Decoding Irina Rish, Kalev Kask, Rina Dechter

Evaluating Las Vegas Algorithms: Pitfalls and Remedies Holger H. Hoos, Thomas Stützle

Exact Inference of Hidden Structure from Sample Data in Noisy-or Networks Michael J. Kearns, Yishay Mansour

Flexible and Approximate Computation Through State-Space Reduction Andrea Bobbio

Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems Ronald Parr

From Likelihood to Plausibility Paul-André Monney

Graphical Models and Exponential Families Dan Geiger

Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results Wenxin Jiang, Martin A. Tanner

Hierarchical Solution of Markov Decision Processes Using Macro-Actions Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier

Implementing Resolute Choice Under Uncertainty Jean-Yves Jaffray

Incremental Tradeoff Resolution in Qualitative Probabilistic Networks Chao-Lin Liu, Michael P. Wellman

Inferring Informational Goals from Free-Text Queries: A Bayesian Approach David Heckerman, Eric Horvitz

Irrelevance and Independence Relations in Quasi-Bayesian Networks Fábio Gagliardi Cozman

Large Deviation Methods for Approximate Probabilistic Inference Michael J. Kearns, Lawrence K. Saul

Lazy Propagation in Junction Trees Anders L. Madsen, Finn Verner Jensen

Learning by Transduction Alexander Gammerman, Volodya Vovk, Vladimir Vapnik

Learning from What You Don't Observe Mark A. Peot, Ross D. Shachter

Learning Mixtures of DAG Models Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman

Learning the Structure of Dynamic Probabilistic Networks Nir Friedman, Kevin P. Murphy, Stuart Russell

Logarithmic Time Parallel Bayesian Inference David M. Pennock

Magic Inference Rules for Probabilistic Deduction Under Taxonomic Knowledge Thomas Lukasiewicz

Marginalizing in Undirected Graph and Hypergraph Models Enrique F. Castillo, Juan M. Fernández-Luna, Pilar Sanmartin

Measure Selection: Notions of Rationality and Representation Independence Manfred Jaeger

Merging Uncertain Knowledge Bases in a Possibilistic Logic Framework Salem Benferhat, Claudio Sossai

Minimum Encoding Approaches for Predictive Modeling Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

Mixture Representations for Inference and Learning in Boltzmann Machines Neil D. Lawrence, Christopher M. Bishop, Michael I. Jordan

On the Acceptability of Arguments in Preference-Based Argumentation Leila Amgoud, Claudette Cayrol

On the Geometry of Bayesian Graphical Models with Hidden Variables Raffaella Settimi, Jim Q. Smith

On the Semi-Markov Equivalence of Causal Models Benoit Desjardins

Planning with Partially Observable Markov Decision Processes: Advances in Exact Solution Method Nevin Lianwen Zhang, Stephen S. Lee

Probabilistic Inference in Influence Diagrams Nevin Lianwen Zhang

Psychological and Normative Theories of Causal Power and the Probabilities of Causes Clark Glymour

Qualitative Decision Theory with Sugeno Integrals Didier Dubois, Henri Prade, Régis Sabbadin

Query Expansion in Information Retrieval Systems Using a Bayesian Network-Based Thesaurus Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete

Resolving Conflicting Arguments Under Uncertainties Benson Hin Kwong Ng, Kam-Fai Wong, Boon Toh Low

Solving POMDPs by Searching in Policy Space Eric A. Hansen

Structured Reachability Analysis for Markov Decision Processes Craig Boutilier, Ronen I. Brafman, Christopher W. Geib

Switching Portfolios Yoram Singer

The Bayesian Structural EM Algorithm Nir Friedman

The Lumière Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users Eric Horvitz, Jack S. Breese, David Heckerman, David Hovel, Koos Rommelse

Toward Case-Based Preference Elicitation: Similarity Measures on Preference Structures Vu A. Ha, Peter Haddawy

Tractable Inference for Complex Stochastic Processes Xavier Boyen, Daphne Koller

Treatment Choice in Heterogeneous Populations Using Experiments Without Covariate Data Charles F. Manski

Updating Sets of Probabilities Adam J. Grove, Joseph Y. Halpern

Using Qualitative Relationships for Bounding Probability Distributions Chao-Lin Liu, Michael P. Wellman

Utility Elicitation as a Classification Problem Urszula Chajewska, Lise Getoor, Joseph Norman, Yuval Shahar