15. UAI 1999:
Stockholm,
Sweden
Kathryn B. Laskey, Henri Prade (Eds.):
UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30-August 1, 1999.
Morgan Kaufmann 1999 BibTeX
@proceedings{DBLP:conf/uai/1999,
editor = {Kathryn B. Laskey and
Henri Prade},
title = {UAI '99: Proceedings of the Fifteenth Conference on Uncertainty
in Artificial Intelligence, Stockholm, Sweden, July 30-August
1, 1999},
booktitle = {UAI},
publisher = {Morgan Kaufmann},
year = {1999},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
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On the Semantics and Automated Deduction for PLFC, a Logic of Possibilistic Uncertainty and Fuzziness.
3-12
Electronic Edition (link) BibTeX
- Gustavo Arroyo-Figueroa, Luis Enrique Sucar:
A Temporal Bayesian Network for Diagnosis and Prediction.
13-20
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Inferring Parameters and Structure of Latent Variable Models by Variational Bayes.
21-30
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- Katy S. Azoury, Manfred K. Warmuth:
Relative Loss Bounds for On-line Density Estirnation with the Exponential Family of Distributions.
31-40
Electronic Edition (link) BibTeX
- Philip S. Barry, Kathryn B. Laskey:
An Application of Uncertain Reasoning to Requirements Engineering.
41-48
Electronic Edition (link) BibTeX
- Ann Becker, Reuven Bar-Yehuda, Dan Geiger:
Random Algorithms for the Loop Cutset Problem.
49-56
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- Salem Benferhat, Didier Dubois, Laurent Garcia, Henri Prade:
Possibilistic logic bases and possibilistic graphs.
57-64
Electronic Edition (link) BibTeX
- Magnus Boman, Paul Davidsson, Håkan L. S. Younes:
Artificial Decision Making Under Uncertainty in Intelligent Buildings.
65-70
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- Craig Boutilier, Ronen I. Brafman, Holger H. Hoos, David Poole:
Reasoning With Conditional Ceteris Paribus Preference Statements.
71-80
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- Craig Boutilier, Moisés Goldszmidt, Bikash Sabata:
Continuous Value Function Approximation for Sequential Bidding Policies.
81-90
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Discovering the Hidden Structure of Complex Dynamic Systems.
91-100
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- Jie Cheng, Russell Greiner:
Comparing Bayesian Network Classifiers.
101-108
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Fast Learning from Sparse Data.
109-115
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Causal Discovery from a Mixture of Experimental and Observational Data.
116-125
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Loglinear models for first-order probabilistic reasoning.
126-133
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Learning Polytrees.
134-141
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A Hybrid Anytime Algorithm for the Construction of Causal Models From Sparse Data.
142-149
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Model based Bayesian Exploration.
150-159
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Hybrid Probabilistic Programs: Algorithms and Complexity.
160-169
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Assessing the value of a candidate: Comparing belief function and possibility theories.
170-177
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Evaluation of Distributed Intelligence on the Smart Card.
178-187
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Qualitative Models for Decision Under Uncertainty without the Commensurability Assumption.
188-195
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Data Analysis with Bayesian Networks: A Bootstrap Approach.
196-205
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Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm.
206-215
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Parameter Priors for Directed Acyclic Graphical Models and the Characteriration of Several Probability Distributions.
216-225
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Quantifier Elimination for Statistical Problems.
226-235
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236-244
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A New Model of Plan Recognition.
245-254
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Multi-objects association in perception of dynamical situation.
255-262
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A Hybrid Approach to Reasoning with Partially Elicited Preference Models.
263-270
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271-278
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279-288
Electronic Edition (link) BibTeX
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Probabilistic Latent Semantic Analysis.
289-296
Electronic Edition (link) BibTeX
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Estimating the Value of Computation in Flexible Information Refinement.
297-304
Electronic Edition (link) BibTeX
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Attention-Sensitive Alerting.
305-313
Electronic Edition (link) BibTeX
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Mini-Bucket Heuristics for Improved Search.
314-323
Electronic Edition (link) BibTeX
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A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets.
324-333
Electronic Edition (link) BibTeX
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On Supervised Selection of Bayesian Networks.
334-342
Electronic Edition (link) BibTeX
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Bayesian Poker.
343-350
Electronic Edition (link) BibTeX
- Ryszard Kowalczyk:
On Quantified Linguistic Approximation.
351-358
Electronic Edition (link) BibTeX
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Choosing Among Interpretations of Probability.
359-365
Electronic Edition (link) BibTeX
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Expected Utility Networks.
366-373
Electronic Edition (link) BibTeX
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My Brain is Full: When More Memory Helps.
374-381
Electronic Edition (link) BibTeX
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Lazy Evaluation of Symmetric Bayesian Decision Problems.
382-390
Electronic Edition (link) BibTeX
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Representing and Combining Partially Specified CPTs.
391-400
Electronic Edition (link) BibTeX
- Yishay Mansour, Satinder P. Singh:
On the Complexity of Policy Iteration.
401-408
Electronic Edition (link) BibTeX
- David A. McAllester, Satinder P. Singh:
Approximate Planning for Factored POMDPs using Belief State Simplification.
409-416
Electronic Edition (link) BibTeX
- Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra:
Solving POMDPs by Searching the Space of Finite Policies.
417-426
Electronic Edition (link) BibTeX
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Learning Finite-State Controllers for Partially Observable Environments.
427-436
Electronic Edition (link) BibTeX
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Bayes Nets in Educational Assessment: Where the Numbers Come From.
437-446
Electronic Edition (link) BibTeX
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A Bayesian Network Classifier that Combines a Finite Mixture Model and a NaIve Bayes Model.
447-456
Electronic Edition (link) BibTeX
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A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables.
457-466
Electronic Edition (link) BibTeX
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Loopy Belief Propagation for Approximate Inference: An Empirical Study.
467-475
Electronic Edition (link) BibTeX
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Learning Bayesian Networks from Incomplete Data with Stochastic Search Algorithms.
476-485
Electronic Edition (link) BibTeX
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Learning Bayesian Networks with Restricted Causal Interactions.
486-493
Electronic Edition (link) BibTeX
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The Decision-Theoretic Interactive Video Advisor.
494-501
Electronic Edition (link) BibTeX
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Welldefined Decision Scenarios.
502-511
Electronic Edition (link) BibTeX
- Luis E. Ortiz, Leslie Pack Kaelbling:
Accelerating EM: An Empirical Study.
512-521
Electronic Edition (link) BibTeX
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Variational Learning in Mixed-State Dynamic Graphical Models.
522-530
Electronic Edition (link) BibTeX
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Graphical Representations of Consensus Belief.
531-540
Electronic Edition (link) BibTeX
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SPOOK: A system for probabilistic object-oriented knowledge representation.
541-550
Electronic Edition (link) BibTeX
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Bayesian Networks for Dependability Analysis: an Application to Digital Control Reliability.
551-558
Electronic Edition (link) BibTeX
- Silja Renooij, Linda C. van der Gaag:
Enhancing QPNs for Trade-off Resolution.
559-566
Electronic Edition (link) BibTeX
- Régis Sabbadin:
A Possibilistic Model for Qualitative Sequential Decision Problems under Uncertainty in Partially Observable Environments.
567-574
Electronic Edition (link) BibTeX
- David A. Schum:
Inference Networks and the Evaluation of Evidence: Alternative Analyses.
575-584
Electronic Edition (link) BibTeX
- Raffaella Settimi, Jim Q. Smith, A. S. Gargoum:
Approximate Learning in Complex Dynamic Bayesian Networks.
585-593
Electronic Edition (link) BibTeX
- Ross D. Shachter:
Efficient Value of Information Computation.
594-601
Electronic Edition (link) BibTeX
- Hagit Shatkay:
Learning Hidden Markov Models with Geometrical Constraints.
602-611
Electronic Edition (link) BibTeX
- Philippe Smets:
Practical Uses of Belief Functions.
612-621
Electronic Edition (link) BibTeX
- Masami Takikawa, Bruce D'Ambrosio:
Multiplicative Factorization of Noisy-Max.
622-630
Electronic Edition (link) BibTeX
- Leendert W. N. van der Torre, Yao-Hua Tan:
An Update Semantics for Defeasible Obligations.
631-638
Electronic Edition (link) BibTeX
- Volker Tresp, Michael Haft, Reimar Hofmann:
Mixture Approximations to Bayesian Networks.
639-646
Electronic Edition (link) BibTeX
- Linda C. van der Gaag, Silja Renooij, C. L. M. Witteman, B. M. P. Aleman, B. G. Taal:
How to Elicit Many Probabilities.
647-654
Electronic Edition (link) BibTeX
- Frans Voorbraak:
Probabilistic Belief Change: Expansion, Conditioning and Constraining.
655-662
Electronic Edition (link) BibTeX
- Robert L. Welch, Clayton Smith:
Bayesian Control for Concentrating Mixed Nuclear Waste.
663-669
Electronic Edition (link) BibTeX
- S. K. Michael Wong, Cory J. Butz:
Contextual Weak Independence in Bayesian Networks.
670-679
Electronic Edition (link) BibTeX
- Yanping Xiang, Finn Verner Jensen:
Inference in Multiply Sectioned Bayesian Networks with Extended Shafer-Shenoy and Lazy Propagation.
680-687
Electronic Edition (link) BibTeX
- Yanping Xiang, Kim-Leng Poh:
Time-Critical Dynamic Decision Making.
688-695
Electronic Edition (link) BibTeX
- Nevin Lianwen Zhang, Stephen S. Lee, Weihong Zhang:
A Method for Speeding Up Value Iteration in Partially Observable Markov Decision Processes.
696-703
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:44:09 2009
by Michael Ley (ley@uni-trier.de)