UAI 1995

67 papers

A Bayesian Approach to Learning Causal Networks David Heckerman

A Characterization of the Dirichlet Distribution with Application to Learning Bayesian Networks Dan Geiger, David Heckerman

A Constraint Satisfaction Framework for Decision Under Uncertainty Hélène Fargier, Jérôme Lang, Roger Martin-Clouaire, Thomas Schiex

A Definition and Graphical Representation for Causality David Heckerman, Ross D. Shachter

A Method for Implementing a Probabilistic Model as a Relational Database S. K. Michael Wong, Cory J. Butz, Yang Xiang

A New Pruning Method for Solving Decision Trees and Game Trees Prakash P. Shenoy

A Polynomial Algorithm for Computing the Optimal Repair Strategy in a System with Independent Component Failures Sampath Srinivas

A Theoretical Framework for Context-Sensitive Temporal Probability Model Construction with Application to Plan Projection Liem Ngo, Peter Haddawy, James Helwig

A Transformational Characterization of Equivalent Bayesian Network Structures David Maxwell Chickering

Abstraction in Belief Networks: The Role of Intermediate States in Diagnostic Reasoning Gregory M. Provan

Accounting for Context in Plan Recognition, with Application to Traffic Monitoring David V. Pynadath, Michael P. Wellman

An Algebraic Semantics for Possibilistic Logic Luca Boldrin, Claudio Sossai

An Order of Magnitude Calculus Nic Wilson

Automating Computer Bottleneck Detection with Belief Nets John S. Breese, Russ Blake

Belief Functions and Default Reasoning Salem Benferhat, Alessandro Saffiotti, Philippe Smets

Causal Inference and Causal Explanation with Background Knowledge Christopher Meek

Causal Inference in the Presence of Latent Variables and Selection Bias Peter Spirtes, Christopher Meek, Thomas S. Richardson

Cautious Propagation in Bayesian Networks Finn Verner Jensen

Chain Graphs for Learning Wray L. Buntine

Clustering Without (Thinking About) Triangulation Denise Draper

Conditioning Algorithms for Exact and Approximate Inference in Causal Networks Adnan Darwiche

Counterfactuals and Policy Analysis in Structural Models Alexander Balke, Judea Pearl

Decision Flexibility Tom Chávez, Ross D. Shachter

Defaults and Infinitesimals Defeasible Inference by Nonarchimedean Entropy-Maximization Emil Weydert

Directed Cyclic Graphical Representations of Feedback Models Peter Spirtes

Display of Information for Time-Critical Decision Making Eric Horvitz, Matthew Barry

Efficient Decision-Theoretic Planning: Techniques and Empirical Analysis Peter Haddawy, AnHai Doan, Richard Goodwin

Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information Marek J. Druzdzel, Linda C. van der Gaag

Error Estimation in Approximate Bayesian Belief Network Inference Enrique F. Castillo, Remco R. Bouckaert, José María Sarabia, Cristina Solares

Estimating Continuous Distributions in Bayesian Classifiers George H. John, Pat Langley

Exploiting System Hierarchy to Compute Repair Plans in Probabilistic Model-Based Diagnosis Sampath Srinivas, Eric Horvitz

Exploiting the Rule Structure for Decision Making Within the Independent Choice Logic David Poole

Fast Belief Update Using Order-of-Magnitude Probabilities Moisés Goldszmidt

Fraud/Uncollectible Debt Detection Using a Bayesian Network Based Learning System: A Rare Binary Outcome with Mixed Data Structures Kazuo J. Ezawa, Til Schuermann

Fuzzy Logic and Probability Petr Hájek, Lluís Godo, Francesc Esteva

Generating Explanations for Evidential Reasoning Hong Xu, Philippe Smets

Generating the Structure of a Fuzzy Rule Under Uncertainty Juan Luis Castro, Jose Manuel Zurita

Graphical Models for Preference and Utility Fahiem Bacchus, Adam J. Grove

HUGS: Combining Exact Inference and Gibbs Sampling in Junction Trees Uffe Kjærulff

Implementation of Continuous Bayesian Networks Using Sums of Weighted Gaussians Eric Driver, Darryl Morrell

Improved Sampling for Diagnostic Reasoning in Bayesian Networks Mark Hulme

Independence Concepts for Convex Sets of Probabilities Luis M. de Campos, Serafín Moral

Inference with Causal Independence in the CPSC Network Nevin Lianwen Zhang

Information/Relevance Influence Diagrams Ali Jenzarli

Is There a Role for Qualitative Risk Assessment? Paul J. Krause, John Fox, Philip N. Judson

Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains David Heckerman, Dan Geiger

Logarithmic-Time Updates and Queries in Probabilistic Networks Arthur L. Delcher, Adam J. Grove, Simon Kasif, Judea Pearl

Modeling Failure Priors and Persistence in Model-Based Diagnosis Sampath Srinivas

Numerical Representations of Acceptance Didier Dubois, Henri Prade

On the Complexity of Solving Markov Decision Problems Michael L. Littman, Thomas L. Dean, Leslie Pack Kaelbling

On the Detection of Conflicts in Diagnostic Bayesian Networks Using Abstraction Young-Gyun Kim, Marco Valtorta

On the Testability of Causal Models with Latent and Instrumental Variables Judea Pearl

Optimization of Inter-Subnet Belief Updating in Multiply Sectioned Bayesian Networks Yang Xiang

Path Planning Under Time-Dependent Uncertainty Michael P. Wellman, Matthew Ford, Kenneth Larson

Plausibility Measures: A User's Guide Nir Friedman, Joseph Y. Halpern

Practical Model-Based Diagnosis with Qualitative Possibilistic Uncertainty Didier Cayrac, Didier Dubois, Henri Prade

Probabilistic Evaluation of Sequential Plans from Causal Models with Hidden Variables Judea Pearl, James M. Robins

Probabilistic Exploration in Planning While Learning Grigoris I. Karakoulas

Probabilistic Temporal Reasoning with Endogenous Change Steve Hanks, David Madigan, Jonathan Gavrin

Reasoning, Metareasoning, and Mathematical Truth: Studies of Theorem Proving Under Limited Resources Eric Horvitz, Adrian C. Klein

Refining Reasoning in Qualitative Probabilistic Networks Simon Parsons

Sensitivities: An Alternative to Conditional Probabilities for Bayesian Belief Networks Alexander V. Kozlov, Jaswinder Pal Singh

Stochastic Simulation Algorithms for Dynamic Probabilistic Networks Keiji Kanazawa, Daphne Koller, Stuart Russell

Strong Completeness and Faithfulness in Bayesian Networks Christopher Meek

Testing Identifiability of Causal Effects David Galles, Judea Pearl

Toward a Characterization of Uncertainty Measure for the Dempster-Shafer Theory David Harmanec

Transforming Prioritized Defaults and Specificity into Parallel Defaults Benjamin N. Grosof