13. UAI 1997:
Providence,
Rhode Island,
USA
Dan Geiger, Prakash P. Shenoy (Eds.):
UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, August 1-3, 1997, Brown University, Providence, Rhode Island, USA.
Morgan Kaufmann 1997 BibTeX
@proceedings{DBLP:conf/uai/1997,
editor = {Dan Geiger and
Prakash P. Shenoy},
title = {UAI '97: Proceedings of the Thirteenth Conference on Uncertainty
in Artificial Intelligence, August 1-3, 1997, Brown University,
Providence, Rhode Island, USA},
booktitle = {UAI},
publisher = {Morgan Kaufmann},
year = {1997},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
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Update Rules for Parameter Estimation in Bayesian Networks.
3-13
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- Ami Berler, Solomon Eyal Shimony:
Bayes Networks for Sonar Sensor Fusion.
14-21
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Exploiting Uncertain and Temporal Information in Correlation.
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Correlated Action Effects in Decision Theoretic Regression.
30-37
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Corporate Evidential Decision Making in Performance Prediction Domains.
38-45
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- Luis M. de Campos, Juan F. Huete:
Algorithms for Learning Decomposable Models and Chordal Graphs.
46-53
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- Anthony R. Cassandra, Michael L. Littman, Nevin Lianwen Zhang:
Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes.
54-61
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Defining Explanation in Probabilistic Systems.
62-71
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Structured Arc Reversal and Simulation of Dynamic Probabilistic Networks.
72-79
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A Bayesian Approach to Learning Bayesian Networks with Local Structure.
80-89
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- Tongsheng Chu, Yang Xiang:
Exploring Parallelism in Learning Belief Networks.
90-98
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Efficient Induction of Finite State Automata.
99-107
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- Fabio Gagliardi Cozman:
Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions.
108-115
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A Standard Approach for Optimizing Belief Network Inference Using Query DAGs.
116-123
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- Thomas Dean, Robert Givan, Sonia M. Leach:
Model Reduction Techniques for Computing Approximately Optimal Solutions for Markov Decision Processes.
124-131
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A Scheme for Approximating Probabilistic Inference.
132-141
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Myopic Value of Information in Influence Diagrams.
142-149
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Limitations of Skeptical Default Reasoning.
150-156
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Decision-Making under Ordinal Preferences and Comparative Uncertainty.
157-164
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Sequential Update of Bayesian Network Structure.
165-174
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Image Segmentation in Video Sequences: A Probabilistic Approach.
175-181
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The Complexity of Plan Existence and Evaluation in Probabilistic Domains.
182-189
Electronic Edition (link) BibTeX
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Algorithm Portfolio Design: Theory vs. Practice.
190-197
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Learning Bayesian Nets that Perform Well.
198-207
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Probability Update: Conditioning vs. Cross-Entropy.
208-214
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Problem-Focused Incremental Elicitation of Multi-Attribute Utility Models.
215-222
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Models and Selection Criteria for Regression and Classification.
223-228
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- Luis D. Hernández, Serafín Moral:
Inference with Idempotent Valuations.
229-237
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Perception, Attention, and Resources: A Decision-Theoretic Approach to Graphics Rendering.
238-249
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Time-Critical Action: Representations and Application.
250-257
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Learning Belief Networks in Domains with Recursively Embedded Pseudo Independent Submodels.
258-265
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Relational Bayesian Networks.
266-273
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Composition of Probability Measures on Finite Spaces.
274-281
Electronic Edition (link) BibTeX
- Michael J. Kearns, Yishay Mansour, Andrew Y. Ng:
An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering.
282-293
Electronic Edition (link) BibTeX
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Nested Junction Trees.
294-301
Electronic Edition (link) BibTeX
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Object-Oriented Bayesian Networks.
302-313
Electronic Edition (link) BibTeX
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Nonuniform Dynamic Discretization in Hybrid Networks.
314-325
Electronic Edition (link) BibTeX
- Henry E. Kyburg Jr.:
Probabilistic Acceptance.
326-333
Electronic Edition (link) BibTeX
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Network Fragments: Representing Knowledge for Constructing Probabilistic Models.
334-341
Electronic Edition (link) BibTeX
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Computational Advantages of Relevance Reasoning in Bayesian Belief Networks.
342-350
Electronic Edition (link) BibTeX
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Incremental Map Generation by Low Cost Robots Based on Possibility/Necessity Grids.
351-357
Electronic Edition (link) BibTeX
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A Target Classification Decision Aid.
358-365
Electronic Edition (link) BibTeX
- Christopher Meek, David Heckerman:
Structure and Parameter Learning for Causal Independence and Causal Interaction Models.
366-375
Electronic Edition (link) BibTeX
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Support and Plausibility Degrees in Generalized Functional Models.
376-383
Electronic Edition (link) BibTeX
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Cognitive Processing of Causal Knowledge.
384-391
Electronic Edition (link) BibTeX
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Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market.
392-400
Electronic Edition (link) BibTeX
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Learning Bayesian Networks from Incomplete Databases.
401-408
Electronic Edition (link) BibTeX
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Estimation of Effects of Sequential Treatments by Reparameterizing Directed Acyclic Graphs.
409-420
Electronic Edition (link) BibTeX
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Cost-Sharing in Bayesian Knowledge Bases.
421-428
Electronic Edition (link) BibTeX
- Yoav Shoham:
Conditional Utility, Utility Independence, and Utility Networks.
429-436
Electronic Edition (link) BibTeX
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Sequential Thresholds: Context Sensitive Default Extensions.
437-444
Electronic Edition (link) BibTeX
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On Stable Multi-Agent Behavior in Face of Uncertainty.
445-452
Electronic Edition (link) BibTeX
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Score and Information for Recursive Exponential Models with Incomplete Data.
453-463
Electronic Edition (link) BibTeX
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Lexical Access for Speech Understanding using Minimum Message Length Encoding.
464-471
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Region-Based Approximations for Planning in Stochastic Domains.
472-480
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Fast Value Iteration for Goal-Directed Markov Decision Processes.
489-494
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Copyright © Sat May 16 23:44:09 2009
by Michael Ley (ley@uni-trier.de)
