Uncertainty in Artificial Intelligence
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Proceedings of the Fourteenth Conference Conference on Uncertainty in Artificial Intelligence ( 1998 )
Jul 24-26 1998, Madison, WI

Edited By:
Gregory Cooper, Serafin Moral
Published By: Morgan Kaufmann, San Francisco, CA
ISBN: 1-55860-555-X

A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions
Vasilica Lepar , Prakash 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 Cooper
An Anytime Algorithm for Decision Making under Uncertainty
Michael Horsch , David Poole
An Experimental Comparison of Several Clustering and Initialization Methods
Marina Meila , David Heckerman
Any Time Probabilistic Reasoning for Sensor Validation
Pablo Ibarguengoytia , Luis Sucar , Sunil Vadera
Axiomatizing Causal Reasoning
Joseph Halpern
Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams)
Ross Shachter
Bayesian Networks from the Point of View of Chain Graphs
Milan Studeny
Comparative Uncertainty, Belief Functions and Accepted Beliefs
Didier Dubois , Helene Fargier , Henri Prade
Constructing Situation Specific Belief Networks
Suzanne Mahoney , Kathryn 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 , Michele 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 Breese , David Heckerman , Carl Kadie
Empirical Evaluation of Approximation Algorithms for Probabilistic Decoding
Irina Rish , Kalev Kask , Rina Dechter
Evaluating Las Vegas Algorithms - Pitfalls and Remedies
Holger Hoos , Thomas Stutzle
Exact Inference of Hidden Structure from Sample Data in Noisy-OR Networks
Michael Kearns , Yishay Mansour
Flexible and Approximate Computation through State-Space Reduction
Weixiong Zhang
Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems
Ron Parr
From Likelihood to Plausibility
Paul-Andre Monney
Graphical Models and Exponential Families
Dan Geiger , Christopher Meek
Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results
Wenxin Jiang , Martin Tanner
Hierarchical Solution of Markov Decision Processes using Macro-actions
Milos Hauskrecht , Nicolas Meuleau , Leslie Kaelbling , Thomas Dean , Craig Boutilier
Implementing Resolute Choice Under Uncertainty
Jean-Yves Jaffray
Incremental Tradeoff Resolution in Qualitative Probabilistic Networks
Chao-Lin Liu , Michael Wellman
Inferring Informational Goals from Free-Text Queries: A Bayesian Approach
David Heckerman , Eric Horvitz
Irrelevance and Independence Relations in Quasi-Bayesian Networks
Fabio Cozman
Large Deviation Methods for Approximate Probabilistic Inference
Michael Kearns , Lawrence Saul
Lazy Propagation in Junction Trees
Anders Madsen , Finn Jensen
Learning by Transduction
Alex Gammerman , Volodya Vovk , Vladimir Vapnik
Learning From What You Don't Observe
Mark Peot , Ross Shachter
Learning Mixtures of DAG Models
Bo Thiesson , Christopher Meek , David Chickering , David Heckerman
Learning the Structure of Dynamic Probabilistic Networks
Nir Friedman , Kevin Murphy , Stuart Russell
Logarithmic Time Parallel Bayesian Inference
David Pennock
Magic Inference Rules for Probabilistic Deduction under Taxonomic Knowledge
Thomas Lukasiewicz
Marginalizing in Undirected Graph and Hypergraph Models
Enrique Castillo , Juan Ferrándiz , 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 Grunwald , Petri Kontkanen , Petri Myllymaki , Tomi Silander , Henry Tirri
Mixture Representations for Inference and Learning in Boltzmann Machines
Neil Lawrence , Christopher Bishop , Michael 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 Smith
On the Semi-Markov Equivalence of Causal Models
Benoit Desjardins
Planning with Partially Observable Markov Decision Processes: Advances in Exact Solution Method
Nevin Zhang , Stephen Lee
Probabilistic Inference in Influence Diagrams
Nevin 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 , Regis Sabbadin
Query Expansion in Information Retrieval Systems using a Bayesian Network-Based Thesaurus
Luis de Campos , Juan Fernandez-Luna , Juan Huete
Resolving Conflicting Arguments under Uncertainties
Benson Ng , Kam-Fai Wong , Boon-Toh Low
Solving POMDPs by Searching in Policy Space
Eric Hansen
Structured Reachability Analysis for Markov Decision Processes
Craig Boutilier , Ronen Brafman , Christopher Geib
Switching Portfolios
Yoram Singer
The Bayesian Structural EM Algorithm
Nir Friedman
The Lumiere Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users
Eric Horvitz , John Breese , David Heckerman , David Hovel , Koos Rommelse
Towards Case-Based Preference Elicitation: Similarity Measures on Preference Structures
Vu Ha , Peter Haddawy
Tractable Inference for Complex Stochastic Processes
Xavier Boyen , Daphne Koller
Treatment Choice in Heterogeneous Populations Using Experiments without Covariate Data (Invited Paper)
Charles Manski
Updating Sets of Probabilities
Adam Grove , Joseph Halpern
Using Qualitative Relationships for Bounding Probability Distributions
Chao-Lin Liu , Michael Wellman
Utility Elicitation as a Classification Problem
Urszula Chajewska , Lise Getoor , Joseph Norman , Yuval Shahar

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