14. UAI 1998:
Madison,
Wisconsin,
USA
Gregory F. Cooper, Serafín Moral (Eds.):
UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, July 24-26, 1998, University of Wisconsin Business School, Madison, Wisconsin, USA.
Morgan Kaufmann 1998 BibTeX
@proceedings{DBLP:conf/uai/1998,
editor = {Gregory F. Cooper and
Seraf\'{\i}n Moral},
title = {UAI '98: Proceedings of the Fourteenth Conference on Uncertainty
in Artificial Intelligence, July 24-26, 1998, University of Wisconsin
Business School, Madison, Wisconsin, USA},
booktitle = {UAI},
publisher = {Morgan Kaufmann},
year = {1998},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
- Leila Amgoud, Claudette Cayrol:
On the Acceptability of Arguments in Preference-based Argumentation.
1-7
Electronic Edition (link) BibTeX
- Salem Benferhat, Claudio Sossai:
Merging uncertain knowledge bases in a possibilistic logic framework.
8-15
Electronic Edition (link) BibTeX
- Mark Bloemeke, Marco Valtorta:
A Hybrid Algorithm to Compute Marginal and Joint Beliefs in Bayesian Networks and Its Complexity.
16-23
Electronic Edition (link) BibTeX
- Craig Boutilier, Ronen I. Brafman, Christopher W. Geib:
Structured Reachability Analysis for Markov Decision Processes.
24-32
Electronic Edition (link) BibTeX
- Xavier Boyen, Daphne Koller:
Tractable Inference for Complex Stochastic Processes.
33-42
Electronic Edition (link) BibTeX
- John S. Breese, David Heckerman, Carl Myers Kadie:
Empirical Analysis of Predictive Algorithms for Collaborative Filtering.
43-52
Electronic Edition (link) BibTeX
- Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete:
Query Expansion in Information Retrieval Systems using a Bayesian Network-Based Thesaurus.
53-60
Electronic Edition (link) BibTeX
- Charles Castel, Corine Cossart, Catherine Tessier:
Dealing with Uncertainty in Situation Assessment: towards a Symbolic Approach.
61-68
Electronic Edition (link) BibTeX
- Enrique Castillo, Juan M. Fernández-Luna, Pilar Sanmartin:
Marginalizing in Undirected Graph and Hypergraph Models.
69-78
Electronic Edition (link) BibTeX
- Urszula Chajewska, Lise Getoor, Joseph Norman, Yuval Shahar:
Utility Elicitation as a Classification Problem.
79-88
Electronic Edition (link) BibTeX
- Fabio Gagliardi Cozman:
Irrelevance and Independence Relations in quasi-Bayesian Networks.
89-96
Electronic Edition (link) BibTeX
- Adnan Darwiche:
Dynamic Jointrees.
97-104
Electronic Edition (link) BibTeX
- Benoit Desjardins:
On the semi-Markov Equivalence of Causal Models.
105-112
Electronic Edition (link) BibTeX
- Didier Dubois, Hélène Fargier, Henri Prade:
Comparative uncertainty, belief functions and accepted beliefs.
113-120
Electronic Edition (link) BibTeX
- Didier Dubois, Henri Prade, Régis Sabbadin:
Qualitative Decision Theory with Sugeno Integrals.
121-128
Electronic Edition (link) BibTeX
- Nir Friedman:
The Bayesian Structural EM Algorithm.
129-138
Electronic Edition (link) BibTeX
- Nir Friedman, Kevin P. Murphy, Stuart J. Russell:
Learning the Structure of Dynamic Probabilistic Networks.
139-147
Electronic Edition (link) BibTeX
- Alexander Gammerman, Katy S. Azoury, Vladimir Vapnik:
Learning by Transduction.
148-155
Electronic Edition (link) BibTeX
- Dan Geiger:
Graphical Models and Exponential Families.
156-165
Electronic Edition (link) BibTeX
- Clark Glymour:
Psychological and Normative Theories of Causal Power and the Probabilities of Causes.
166-172
Electronic Edition (link) BibTeX
- Adam J. Grove, Joseph Y. Halpern:
Updating Sets of Probabilities.
173-182
Electronic Edition (link) BibTeX
- Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri:
Minimum Encoding Approaches for Predictive Modeling.
183-192
Electronic Edition (link) BibTeX
- Vu A. Ha, Peter Haddawy:
Toward Case-Based Preference Elicitation: Similarity Measures on Preference Structures.
193-201
Electronic Edition (link) BibTeX
- Joseph Y. Halpern:
Axiomatizing Causal Reasoning.
202-210
Electronic Edition (link) BibTeX
- Eric A. Hansen:
Solving POMDPs by Searching in Policy Space.
211-219
Electronic Edition (link) BibTeX
- Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas Dean, Craig Boutilier:
Hierarchical Solution of Markov Decision Processes using Macro-actions.
220-229
Electronic Edition (link) BibTeX
- David Heckerman, Eric Horvitz:
Inferring Informational Goals from Free-Text Queries: A Bayesian Approach.
230-237
Electronic Edition (link) BibTeX
- Holger H. Hoos, Thomas Stützle:
Evaluating Las Vegas Algorithms: Pitfalls and Remedies.
238-245
Electronic Edition (link) BibTeX
- Michael C. Horsch, David Poole:
An Anytime Algorithm for Decision Making under Uncertainty.
246-255
Electronic Edition (link) BibTeX
- Eric Horvitz, Jack S. Breese, David Heckerman, David Hovel, Koos Rommelse:
The Lumière Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users.
256-265
Electronic Edition (link) BibTeX
- Pablo H. Ibargüengoytia, Luis Enrique Sucar, Sunil Vadera:
Any Time Probabilistic Reasoning for Sensor Validation.
266-273
Electronic Edition (link) BibTeX
- Manfred Jaeger:
Measure Selection: Notions of Rationality and Representation Independence.
274-281
Electronic Edition (link) BibTeX
- Jean-Yves Jaffray:
Implementing Resolute Choice Under Uncertainty.
282-288
Electronic Edition (link) BibTeX
- Iman Jarkass, Michèle Rombaut:
Dealing with uncertainty on the initial state of a Petri net.
289-295
Electronic Edition (link) BibTeX
- Wenxin Jiang, Martin A. Tanner:
Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results.
296-303
Electronic Edition (link) BibTeX
- Michael J. Kearns, Yishay Mansour:
Exact Inference of Hidden Structure from Sample Data in noisy-OR Networks.
304-310
Electronic Edition (link) BibTeX
- Michael J. Kearns, Lawrence K. Saul:
Large Deviation Methods for Approximate Probabilistic Inference.
311-319
Electronic Edition (link) BibTeX
- Neil D. Lawrence, Christopher M. Bishop, Michael I. Jordan:
Mixture Representations for Inference and Learning in Boltzmann Machines.
320-327
Electronic Edition (link) BibTeX
- Vasilica Lepar, Prakash P. Shenoy:
A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions.
328-337
Electronic Edition (link) BibTeX
- Chao-Lin Liu, Michael P. Wellman:
Incremental Tradeoff Resolution in Qualitative Probabilistic Networks.
338-345
Electronic Edition (link) BibTeX
- Chao-Lin Liu, Michael P. Wellman:
Using Qualitative Relationships for Bounding Probability Distributions.
346-353
Electronic Edition (link) BibTeX
- Thomas Lukasiewicz:
Magic Inference Rules for Probabilistic Deduction under Taxonomic Knowledge.
354-361
Electronic Edition (link) BibTeX
- Anders L. Madsen, Finn Verner Jensen:
Lazy Propagation in Junction Trees.
362-369
Electronic Edition (link) BibTeX
- Suzanne M. Mahoney, Kathryn B. Laskey:
Constructing Situation Specific Belief Networks.
370-37
Electronic Edition (link) BibTeX
- Charles F. Manski:
Treatment Choice in Heterogeneous Populations Using Experiments without Covariate Data.
379-385
Electronic Edition (link) BibTeX
- Marina Meila, David Heckerman:
An Experimental Comparison of Several Clustering and Initialization Methods.
386-395
Electronic Edition (link) BibTeX
- Paul-André Monney:
From Likelihood to Plausibility.
396-403
Electronic Edition (link) BibTeX
- Stefano Monti, Gregory F. Cooper:
A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data.
404-413
Electronic Edition (link) BibTeX
- Benson Hin Kwong Ng, Kam-Fai Wong, Boon Toh Low:
Resolving Conflicting Arguments under Uncertainties.
414-421
Electronic Edition (link) BibTeX
- Ronald Parr:
Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems.
422-430
Electronic Edition (link) BibTeX
- David M. Pennock:
Logarithmic Time Parallel Bayesian Inference.
431-438
Electronic Edition (link) BibTeX
- Mark A. Peot, Ross D. Shachter:
Learning From What You Don't Observe.
439-446
Electronic Edition (link) BibTeX
- David Poole:
Context-specific approximation in probabilistic inference.
447-454
Electronic Edition (link) BibTeX
- Irina Rish, Kalev Kask, Rina Dechter:
Empirical Evaluation of Approximation Algorithms for Probabilistic Decoding.
455-463
Electronic Edition (link) BibTeX
- Paola Sebastiani, Marco Ramoni:
Decision Theoretic Foundations of Graphical Model Selection.
464-471
Electronic Edition (link) BibTeX
- Raffaella Settimi, Jim Q. Smith:
On the Geometry of Bayesian Graphical Models with Hidden Variables.
472-479
Electronic Edition (link) BibTeX
- Ross D. Shachter:
Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams).
480-487
Electronic Edition (link) BibTeX
- Yoram Singer:
Switching Portfolios.
488-495
Electronic Edition (link) BibTeX
- Milan Studený:
Bayesian Networks from the Point of View of Chain Graphs.
496-503
Electronic Edition (link) BibTeX
- Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman:
Learning Mixtures of DAG Models.
504-513
Electronic Edition (link) BibTeX
- Nevin Lianwen Zhang:
Probabilistic Inference in Influence Diagrams.
514-522
Electronic Edition (link) BibTeX
- Nevin Lianwen Zhang, Stephen S. Lee:
Planning with Partially Observable Markov Decision Processes: Advances in Exact Solution Method.
523-530
Electronic Edition (link) BibTeX
- Andrea Bobbio:
Flexible and Approximate Computation through State-Space Reduction.
531-538
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:44:09 2009
by Michael Ley (ley@uni-trier.de)
