Uncertainty in Artificial Intelligence
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Proceedings of the Eleventh Conference Conference on Uncertainty in Artificial Intelligence ( 1995 )
Aug 18-20 1995, Montreal, QU

Edited By:
Philippe Besnard, Steve Hanks
Published By: Morgan Kaufmann, San Francisco, CA
ISBN: 1-55860-385-9

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 Approach to Decision under Uncertainty
Helene Fargier , Jerome Lang , Roger Martin-Clouaire , Thomas Schiex
A Definition and Graphical Representation for Causality
David Heckerman , Ross Shachter
A Method for Implementing a Probabilistic Model as a Relational Database
Michael Wong , C. Butz , Yang Xiang
A New Pruning Method for Solving Decision Trees and Game Trees
Prakash 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 Chickering
Abstraction in Belief Networks: The Role of Intermediate States in Diagnostic Reasoning
Gregory Provan
Accounting for Context in Plan Recognition, with Application to Traffic Monitoring
David Pynadath , Michael 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 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 Richardson
Cautious Propagation in Bayesian Networks
Finn Jensen
Chain Graphs for Learning
Wray Buntine
Clustering Without (Thinking About) Triangulation
Denise Draper
Conditioning Methods for Exact and Approximate Inference in Causal Networks
Adnan Darwiche
Counterfactuals and Policy Analysis in Structural Models
Alexander Balke , Judea Pearl
Decision Flexibility
Tom Chavez , Ross 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 Druzdzel , Linda van der Gaag
Error Estimation in Approximate Bayesian Belief Network Inference
Enrique Castillo , Remco Bouckaert , Jose Sarabia , Cristina Solares
Estimating Continuous Distributions in Bayesian Classifiers
George 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
Moises Goldszmidt
Fraud/Uncollectible Debt Detection Using a Bayesian Network Based Learning System: A Rare Binary Outcome with Mixed Data Structures
Kazuo Ezawa , Til Schuermann
Fuzzy Logic and Probability
Petr Hajek , Lluis Godo , Francesc Esteva
Generating Explanations for Evidential Reasoning
Hong Xu , Philippe Smets
Generating the Structure of a Fuzzy Rule under Uncertainty
Juan Castro , Jose Zurita
Graphical Models for Preference and Utility
Fahiem Bacchus , Adam 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 de Campos , Serafin Moral
Inference with Causal Independence in the CPSC Network
Nevin Zhang
Information/Relevance Influence Diagrams
Ali Jenzarli
Is There a Role for Qualitative Risk Assessment?
Paul Krause , John Fox , Philip Judson
Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains
David Heckerman , Dan Geiger
Logarithmic-Time Updates and Queries in Probabilistic Networks
Arthur Delcher , Adam 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 Littman , Thomas Dean , Leslie 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 Wellman , Matthew Ford , Kenneth Larson
Plausibility Measures: A User's Guide
Nir Friedman , Joseph 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 Robins
Probabilistic Exploration in Planning while Learning
Grigoris 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 Klein
Refining Reasoning in Qualitative Probabilistic Networks
Simon Parsons
Sensitivities: An Alternative to Conditional Probabilities for Bayesian Belief Networks
Alexander Kozlov , Jaswinder 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 Grosof

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