Uncertainty in artificial intelligence : proceedings of the Tenth Conference (1994) : July 29-31, 1994

Content: 
Front Matter, Page i
Copyright, Page ii
Preface, Page vii
Acknowledgments, Page viii
Ending-based Strategies for Part-of-speech Tagging, Pages 1-7
An evaluation of an algorithm for inductive learning of Bayesian belief networks using simulated data sets, Pages 8-14
Probabilistic Constraint Satisfaction with Non-Gaussian Noise, Pages 15-22
A Bayesian Method Reexamined, Pages 23-27
Laplace's Method Approximations for Probabilistic Inference in Belief Networks with Continuous Variables, Pages 28-36
Generating New Beliefs From Old, Pages 37-45
Counterfactual Probabilities: Computational Methods, Bounds and Applications, Pages 46-54
Modus Ponens Generating Function in the Class of Λ-valuations of Plausibility, Pages 55-59
Approximation Algorithms for the Loop Cutset Problem, Pages 60-68
Possibility and necessity functions over non-classical logics, Pages 69-76
Exploratory Model Building, Pages 77-85
Learning in Multi-Level Stochastic Games with Delayed Information, Pages 86-93
Planning with External Events, Pages 94-101
Properties of Bayesian Belief Network Learning Algorithms, Pages 102-109
A Stratified Simulation Scheme for Inference in Bayesian Belief Networks, Pages 110-117
Proposal: Interactive Media for Research in Uncertainty, Page 118
Efficient Estimation of the Value of Information in Monte Carlo Models, Pages 119-127
Symbolic Probabilistic Inference in large BN20 networks, Pages 128-135
Action Networks: A Framework for Reasoning about Actions and Change under Uncertainty, Pages 136-144
On the Relation between Kappa Calculus and Probabilistic Reasoning, Pages 145-153
A Structured, Probabilistic Representation of Action, Pages 154-161
Integrating Planning and Execution in Stochastic Domains, Pages 162-169
Localized Partial Evaluation of Belief Networks, Pages 170-177
A Probabilistic Model of Action for Least-Commitment Planning with Information Gathering, Pages 178-186
Some Properties of Joint Probability Distributions, Pages 187-194
An ordinal view of independence with application to plausible reasoning, Pages 195-203
Penalty logic and its link with Dempster-Shafer theory, Pages 204-211
Value of Evidence on Influence Diagrams, Pages 212-220
Conditional independence in possibility theory, Pages 221-226
Backward Simulation in Bayesian Networks, Pages 227-234
Learning Gaussian Networks, Pages 235-243
On testing whether an Embedded Bayesian Network represents a probability model, Pages 244-252
Epsilon-Safe Planning, Pages 253-261
Generating Bayesian Networks from Probability Logic Knowledge Bases, Pages 262-269
Abstracting Probabilistic Actions, Pages 270-277
On Modal Logics for Qualitative Possibility in a Fuzzy Setting, Pages 278-285
A New Look at Causal Independence, Pages 286-292
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data, Pages 293-301
A Decision-Based View of Causality, Pages 302-310
Probabilistic Description Logics, Pages 311-318
An Experimental Comparison of Numerical and Qualitative Probabilistic Reasoning, Pages 319-326
An Alternative Proof Method for Possibilistic Logic and its Application to Terminological Logics, Pages 327-335
Possibilistic Conditioning and Propagation, Pages 336-343
The Automated Mapping of Plans for Plan Recognition, Pages 344-351
A Logic for Default Reasoning About Probabilities, Pages 352-359
Optimal Junction Trees, Pages 360-366
From Influence Diagrams to Junction Trees, Pages 367-373
Reduction of Computational Complexity in Bayesian Networks through Removal of Weak Dependences, Pages 374-382
Using New Data to Refine a Bayesian Network, Pages 383-390
Syntax-based default reasoning as probabilistic model-based diagnosis, Pages 391-398
Induction of Selective Bayesian Classifiers, Pages 399-406
Fuzzy Geometric Relations to Represent Hierarchical Spatial Information, Pages 407-415
Constructing Belief Networks to Evaluate Plans, Pages 416-422
Operator Selection While Planning Under Uncertainty, Pages 423-431
Model-Based Diagnosis with Qualitative Temporal Uncertainty, Pages 432-439
Incremental Dynamic Construction of Layered Polytree Networks, Pages 440-446
Models of Consensus for Multiple Agent Systems, Pages 447-453
A Probabilistic Calculus of Actions, Pages 454-462
Robust Planning in Uncertain Environments, Pages 463-469
Anytime Decision Making with Imprecise Probabilities, Pages 470-477
Three Approaches to Probability Model Selection, Pages 478-483
Knowledge Engineering for Large Belief Networks, Pages 484-490
Solving Asymmetric Decision Problems with Influence Diagrams, Pages 491-497
Belief Maintenance in Bayesian Networks, Pages 498-505
Belief Updating by Enumerating High-Probability Independence-Based Assignments, Pages 506-513
Global Conditioning for Probabilistic Inference in Belief Networks, Pages 514-522
Belief Induced by the Partial Knowledge of the Probabilities, Pages 523-530
Ignorance and the Expressiveness of Single- and Set-Valued Probability Models of Belief, Pages 531-537
A probabilistic approach to hierarchical model-based diagnosis, Pages 538-545
Semigraphoids are Two-Antecedental Approximations of Stochastic Conditional Independence Models, Pages 546-552
Exceptional Subclasses in Qualitative Probability, Pages 553-559
A Defect in Dempster-Shafer Theory, Pages 560-566
State-Space Abstraction for Anytime Evaluation of Probabilistic Networks, Pages 567-574
General Belief Measures, Pages 575-582
Generating Graphoids from Generalised Conditional Probability, Pages 583-590
On Axiomatization of Probabilistic Conditional Independencies, Pages 591-597
Evidential Reasoning with Conditional Belief Functions, Pages 598-605
Intercausal Independence and Heterogeneous Factorization, Pages 606-614
Author Index, Pages 615-616