Table of Contents

• Update Rules for Parameter Estimation in Bayesian NetworksEric Bauer, Daphne Koller, Yoram Singer. 3-13 [doi]
• Bayes Networks for Sonar Sensor FusionAmi Berler, Solomon Eyal Shimony. 14-21 [doi]
• Exploiting Uncertain and Temporal Information in CorrelationJohn Bigham. 22-29 [doi]
• Correlated Action Effects in Decision Theoretic RegressionCraig Boutilier. 30-37 [doi]
• Corporate Evidential Decision Making in Performance Prediction DomainsAlex G. Büchner, Werner Dubitzky, Alfons Schuster, Philippe Lopes, Peter G. O Donoghue, John G. Hughes, David A. Bell, Kenneth Adamson, John A. White, John Anderson, Maurice D. Mulvenna. 38-45 [doi]
• Algorithms for Learning Decomposable Models and Chordal GraphsLuis M. de Campos, Juan F. Huete. 46-53 [doi]
• Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision ProcessesAnthony R. Cassandra, Michael L. Littman, Nevin Lianwen Zhang. 54-61 [doi]
• Defining Explanation in Probabilistic SystemsUrszula Chajewska, Joseph Y. Halpern. 62-71 [doi]
• Structured Arc Reversal and Simulation of Dynamic Probabilistic NetworksAdrian Y. W. Cheuk, Craig Boutilier. 72-79 [doi]
• A Bayesian Approach to Learning Bayesian Networks with Local StructureDavid Maxwell Chickering, David Heckerman, Christopher Meek. 80-89 [doi]
• Exploring Parallelism in Learning Belief NetworksTongsheng Chu, Yang Xiang. 90-98 [doi]
• Efficient Induction of Finite State AutomataMatthew S. Collins, Jonathan J. Oliver. 99-107 [doi]
• Robustness Analysis of Bayesian Networks with Local Convex Sets of DistributionsFabio Gagliardi Cozman. 108-115 [doi]
• A Standard Approach for Optimizing Belief Network Inference Using Query DAGsAdnan Darwiche, Gregory M. Provan. 116-123 [doi]
• Model Reduction Techniques for Computing Approximately Optimal Solutions for Markov Decision ProcessesThomas Dean, Robert Givan, Sonia M. Leach. 124-131 [doi]
• A Scheme for Approximating Probabilistic InferenceRina Dechter, Irina Rish. 132-141 [doi]
• Myopic Value of Information in Influence DiagramsSøren L. Dittmer, Finn Verner Jensen. 142-149 [doi]
• Limitations of Skeptical Default ReasoningJens Doerpmund. 150-156 [doi]
• Decision-Making under Ordinal Preferences and Comparative UncertaintyDidier Dubois, Hélène Fargier, Henri Prade. 157-164 [doi]
• Sequential Update of Bayesian Network StructureNir Friedman, Moisés Goldszmidt. 165-174 [doi]
• Image Segmentation in Video Sequences: A Probabilistic ApproachNir Friedman, Stuart J. Russell. 175-181 [doi]
• The Complexity of Plan Existence and Evaluation in Probabilistic DomainsJudy Goldsmith, Michael L. Littman, Martin Mundhenk. 182-189 [doi]
• Algorithm Portfolio Design: Theory vs. PracticeCarla P. Gomes, Bart Selman. 190-197 [doi]
• Learning Bayesian Nets that Perform WellRussell Greiner, Adam J. Grove, Dale Schuurmans. 198-207 [doi]
• Probability Update: Conditioning vs. Cross-EntropyAdam J. Grove, Joseph Y. Halpern. 208-214 [doi]
• Problem-Focused Incremental Elicitation of Multi-Attribute Utility ModelsVu A. Ha, Peter Haddawy. 215-222 [doi]
• Models and Selection Criteria for Regression and ClassificationDavid Heckerman, Christopher Meek. 223-228 [doi]
• Inference with Idempotent ValuationsLuis D. Hernández, Serafín Moral. 229-237 [doi]
• Perception, Attention, and Resources: A Decision-Theoretic Approach to Graphics RenderingEric Horvitz, Jed Lengyel. 238-249 [doi]
• Time-Critical Action: Representations and ApplicationEric Horvitz, Adam Seiver. 250-257 [doi]
• Learning Belief Networks in Domains with Recursively Embedded Pseudo Independent SubmodelsJun Hu, Yang Xiang. 258-265 [doi]
• Relational Bayesian NetworksManfred Jaeger. 266-273 [doi]
• Composition of Probability Measures on Finite SpacesRadim Jirousek. 274-281 [doi]
• An Information-Theoretic Analysis of Hard and Soft Assignment Methods for ClusteringMichael J. Kearns, Yishay Mansour, Andrew Y. Ng. 282-293 [doi]
• Nested Junction TreesUffe Kjærulff. 294-301 [doi]
• Object-Oriented Bayesian NetworksDaphne Koller, Avi Pfeffer. 302-313 [doi]
• Nonuniform Dynamic Discretization in Hybrid NetworksAlexander V. Kozlov, Daphne Koller. 314-325 [doi]
• Probabilistic AcceptanceHenry E. Kyburg Jr.. 326-333 [doi]
• Network Fragments: Representing Knowledge for Constructing Probabilistic ModelsKathryn B. Laskey, Suzanne M. Mahoney. 334-341 [doi]
• Computational Advantages of Relevance Reasoning in Bayesian Belief NetworksYan Lin, Marek J. Druzdzel. 342-350 [doi]
• Incremental Map Generation by Low Cost Robots Based on Possibility/Necessity GridsMaite López-Sánchez, Ramon López de Mántaras, Carles Sierra. 351-357 [doi]
• A Target Classification Decision AidTodd Michael Mansell. 358-365 [doi]
• Structure and Parameter Learning for Causal Independence and Causal Interaction ModelsChristopher Meek, David Heckerman. 366-375 [doi]
• Support and Plausibility Degrees in Generalized Functional ModelsPaul-André Monney. 376-383 [doi]
• Cognitive Processing of Causal KnowledgeScott B. Morris, Doug Cork, Richard E. Neapolitan. 384-391 [doi]
• Representing Aggregate Belief through the Competitive Equilibrium of a Securities MarketDavid M. Pennock, Michael P. Wellman. 392-400 [doi]
• Learning Bayesian Networks from Incomplete DatabasesMarco Ramoni, Paola Sebastiani. 401-408 [doi]
• Estimation of Effects of Sequential Treatments by Reparameterizing Directed Acyclic GraphsJames M. Robins, Larry A. Wasserman. 409-420 [doi]
• Cost-Sharing in Bayesian Knowledge BasesSolomon Eyal Shimony, Carmel Domshlak, Eugene Santos Jr.. 421-428 [doi]
• Conditional Utility, Utility Independence, and Utility NetworksYoav Shoham. 429-436 [doi]
• Sequential Thresholds: Context Sensitive Default ExtensionsChoh-Man Teng. 437-444 [doi]
• On Stable Multi-Agent Behavior in Face of UncertaintyMoshe Tennenholtz. 445-452 [doi]
• Score and Information for Recursive Exponential Models with Incomplete DataBo Thiesson. 453-463 [doi]
• Lexical Access for Speech Understanding using Minimum Message Length EncodingIan Thomas, Ingrid Zukerman, Jonathan J. Oliver, David W. Albrecht, Bhavani Raskutti. 464-471 [doi]
• Region-Based Approximations for Planning in Stochastic DomainsNevin Lianwen Zhang, Wenju Liu. 472-480 [doi]
• Independence of Causal Influence and Clique Tree PropagationNevin Lianwen Zhang, Li Yan. 481-488 [doi]
• Fast Value Iteration for Goal-Directed Markov Decision ProcessesNevin Lianwen Zhang, Weihong Zhang. 489-494 [doi]