Abstraction, Reformulation, and Approximation
Editat de Berthe Y. Choueiry, Toby Walshen Limba Engleză Paperback – 17 iul 2000
Preț: 324.61 lei
Preț vechi: 405.76 lei
-20%
Puncte Express: 487
Carte tipărită la comandă
Livrare economică 03-17 august
Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit de la 400.00 lei Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
Specificații
ISBN-13: 9783540678397
ISBN-10: 3540678395
Pagini: 348
Ilustrații: XII, 336 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.53 kg
Ediția:2000
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540678395
Pagini: 348
Ilustrații: XII, 336 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.53 kg
Ediția:2000
Editura: Springer
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.