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A Bayesian Approach to Learning Bayesian Networks with Local Structure |
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David Chickering
, David Heckerman
, Christopher Meek
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A Scheme for Approximating Probabilistic Inference |
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Rina Dechter
, Irina Rish
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A Standard Approach for Optimizing Belief Network Inference using Query DAGs |
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Adnan Darwiche
, Gregory Provan
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A Target Classification Decision Aid |
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Todd Mansell
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Algorithm Portfolio Design: Theory vs. Practice |
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Carla Gomes
, Bart Selman
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Algorithms for Learning Decomposable Models and Chordal Graphs |
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Luis de Campos
, Juan Huete
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An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering |
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Michael Kearns
, Yishay Mansour
, Andrew Ng
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Bayes Networks for Sonar Sensor Fusion |
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Ami Berler
, Solomon Shimony
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Composition of Probability Measures on Finite Spaces |
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Radim Jirousek
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Computational Advantages of Relevance Reasoning in Bayesian Belief Networks |
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Yan Lin
, Marek Druzdzel
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Conditional Utility, Utility Independence, and Utility Networks |
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Yoav Shoham
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Corporate Evidential Decision Making in Performance Prediction Domains |
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Alex Buchner
, Werner Dubitzky
, Alfons Schuster
, Philippe Lopes
, Peter O'Donoghue
, John Hughes
, David Bell
, Kenny Adamson
, John White
, John Anderson
, Maurice Mulvenna
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Correlated Action Effects in Decision Theoretic Regression |
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Craig Boutilier
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Cost-Sharing in Bayesian Knowledge Bases |
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Solomon Shimony
, Carmel Domshlak
, Eugene Santos Jr.
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Decision-making Under Ordinal Preferences and Comparative Uncertainty |
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Didier Dubois
, Helene Fargier
, Henri Prade
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Defining Explanation in Probabilistic Systems |
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Urszula Chajewska
, Joseph Halpern
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Efficient Induction of Finite State Automata |
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Matthew Collins
, Jonathan Oliver
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Estimation of Effects of Sequential Treatments by Reparameterizing Directed Acyclic Graphs |
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James Robins
, Larry Wasserman
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Exploiting Uncertain and Temporal Information in Correlation |
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John Bigham
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Exploring Parallelism in Learning Belief Networks |
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TongSheng Chu
, Yang Xiang
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Fast Value Iteration for Goal-Directed Markov Decision Processes |
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Nevin Zhang
, Weihong Zhang
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Image Segmentation in Video Sequences: A Probabilistic Approach |
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Nir Friedman
, Stuart Russell
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Incremental Map Generation by Low Cost Robots Based on Possibility/Necessity Grids |
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Maite Lopez-Sanchez
, Ramon Lopez de Mantaras
, Carles Sierra
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Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes |
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Anthony Cassandra
, Michael Littman
, Nevin Zhang
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Independence of Causal Influence and Clique Tree Propagation |
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Nevin Zhang
, Li Yan
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Inference with Idempotent Valuations |
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Luis Hernandez
, Serafin Moral
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Learning Bayesian Nets that Perform Well |
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Russell Greiner
, Adam Grove
, Dale Schuurmans
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Learning Bayesian Networks from Incomplete Databases |
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Marco Ramoni
, Paola Sebastiani
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Learning Belief Networks in Domains with Recursively Embedded Pseudo Independent Submodels |
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Jun Hu
, Yang Xiang
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Lexical Access for Speech Understanding using Minimum Message Length Encoding |
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Ian Thomas
, Ingrid Zukerman
, Jonathan Oliver
, David Albrecht
, Bhavani Raskutti
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Limitations of Skeptical Default Reasoning |
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Jens Doerpmund
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Model Reduction Techniques for Computing Approximately Optimal Solutions for Markov Decision Processes |
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Thomas Dean
, Robert Givan
, Sonia Leach
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Models and Selection Criteria for Regression and Classification |
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David Heckerman
, Christopher Meek
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Myopic Value of Information in Influence Diagrams |
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Soren Dittmer
, Finn Jensen
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Nested Junction Trees |
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Uffe Kjærulff
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Network Fragments: Representing Knowledge for Constructing Probabilistic Models |
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Kathryn Laskey
, Suzanne Mahoney
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Nonuniform Dynamic Discretization in Hybrid Networks |
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Alexander Kozlov
, Daphne Koller
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Object-Oriented Bayesian Networks |
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Daphne Koller
, Avi Pfeffer
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On Stable Multi-Agent Behavior in Face of Uncertainty |
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Moshe Tennenholtz
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Perception, Attention, and Resources: A Decision-Theoretic Approach to Graphics Rendering |
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Eric Horvitz
, Jed Lengyel
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Probabilistic Acceptance |
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Henry Kyburg Jr.
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Probability Update: Conditioning vs. Cross-Entropy |
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Adam Grove
, Joseph Halpern
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Problem-Focused Incremental Elicitation of Multi-Attribute Utility Models |
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Vu Ha
, Peter Haddawy
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Region-Based Approximations for Planning in Stochastic Domains |
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Nevin Zhang
, Wenju Liu
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Relational Bayesian Networks |
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Manfred Jaeger
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Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market |
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David Pennock
, Michael Wellman
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Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions |
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Fabio Cozman
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Score and Information for Recursive Exponential Models with Incomplete Data |
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Bo Thiesson
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Sequential Thresholds: Context Sensitive Default Extensions |
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Choh Teng
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Sequential Update of Bayesian Network Structure |
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Nir Friedman
, Moises Goldszmidt
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Structure and Parameter Learning for Causal Independence and Causal Interaction Models |
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Christopher Meek
, David Heckerman
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Structured Arc Reversal and Simulation of Dynamic Probabilistic Networks |
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Adrian Cheuk
, Craig Boutilier
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Support and Plausibility Degrees in Generalized Functional Models |
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Paul-Andre Monney
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The Cognitive Processing of Causal Knowledge |
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Scott Morris
, Doug Cork
, Richard Neapolitan
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The Complexity of Plan Existence and Evaluation in Probabilistic Domains |
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Judy Goldsmith
, Michael Littman
, Martin Mundhenk
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Time-Critical Reasoning: Representations and Application |
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Eric Horvitz
, Adam Seiver
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Update Rules for Parameter Estimation in Bayesian Networks |
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Eric Bauer
, Daphne Koller
, Yoram Singer
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