Abstraction, Reformulation, and Approximation: 4th International Symposium, SARA 2000 Horseshoe Bay, USA, July 26-29, 2000 Proceedings: Lecture Notes in Computer Science, cartea 1864
Editat de Berthe Y. Choueiry, Toby Walshen Limba Engleză Paperback – 17 iul 2000
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Specificații
ISBN-13: 9783540678397
ISBN-10: 3540678395
Pagini: 348
Ilustrații: XII, 336 p.
Dimensiuni: 155 x 233 x 18 mm
Greutate: 0.49 kg
Ediția:2000
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540678395
Pagini: 348
Ilustrații: XII, 336 p.
Dimensiuni: 155 x 233 x 18 mm
Greutate: 0.49 kg
Ediția:2000
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Invited Talks.- Partial Completeness of Abstract Fixpoint Checking.- An Overview of MAXQ Hierarchical Reinforcement Learning.- Recent Progress in the Design and Analysis of Admissible Heuristic Functions.- Tutorial.- GIS Databases: From Multiscale to MultiRepresentation.- Full Papers.- An Abstraction Framework for Soft Constraints and Its Relationship with Constraint Propagation.- Abstractions for Knowledge Organization of Relational Descriptions.- Grid-Based Histogram Arithmetic for the Probabilistic Analysis of Functions.- Approximating Data in Constraint Databases.- Linearly Bounded Reformulations of Unary Databases.- A CSP Abstraction Framework.- Interactions of Abstractions in Programming.- Reformulation and Approximation in Model Checking.- The Lumberjack Algorithm for Learning Linked Decision Forests.- Reformulating Propositional Satisfiability as Constraint Satisfaction.- Extended Abstracts.- Improving the Efficiency of Reasoning Through Structure-Based Reformulation.- Using Feature Hierarchies in Bayesian Network Learning.- On Reformulating Planning as Dynamic Constraint Satisfaction.- Experiments with Automatically Created Memory-Based Heuristics.- Abstraction and Phase Transitions in Relational Learning.- Posters.- An Agent-Based Approach to Robust Switching Between Abstraction Levels for Fault Diagnosis.- A Compositional Approach to Causality.- A Method for Finding Consistent Hypotheses Using Abstraction.- Research Summaries.- Program Synthesis and Transformation Techniques for Simulation, Optimization, and Constraint Satisfaction.- Using and Learning Abstraction Hierarchies for Planning.- Learning Probabilistic Relational Models.- Synergy between Compositional Modeling and Bayesian Networks.- A CSP Abstraction Framework.- Answering Queries with Database Restrictions.- Research Summary.
Caracteristici
Includes supplementary material: sn.pub/extras