Zucker / Saitta Abstraction, Reformulation and Approximation

6th International Symposium, SARA 2005, Airth Castle, Scotland, UK, July 26-29, 2005, Proceedings
2005
ISBN: 978-3-540-31882-8
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 3607, 380 Seiten, eBook

Reihe: Lecture Notes in Computer Science

Zielgruppe

Research

Autoren/Hrsg.

Zucker, Jean-Daniel

Saitta, Lorenza

Inhaltsverzeichnis

Full Papers.- Verifying the Incorrectness of Programs and Automata.- Generating Admissible Heuristics by Abstraction for Search in Stochastic Domains.- Synthesizing Plans for Multiple Domains.- Abstract Policy Evaluation for Reactive Agents.- Implementing an Abstraction Framework for Soft Constraints.- Transforming and Refining Abstract Constraint Specifications.- Learning Regular Expressions from Noisy Sequences.- From Factorial and Hierarchical HMM to Bayesian Network: A Representation Change Algorithm.- Hierarchical Heuristic Search Revisited.- Multinomial Event Model Based Abstraction for Sequence and Text Classification.- Petri Net Reachability Checking Is Polynomial with Optimal Abstraction Hierarchies.- Detecting and Breaking Symmetries by Reasoning on Problem Specifications.- Approximate Model-Based Diagnosis Using Preference-Based Compilation.- Function Approximation via Tile Coding: Automating Parameter Choice.- Creating Better Abstract Operators.- A Specialised Binary Constraint for the Stable Marriage Problem.- Compositional Derivation of Symmetries for Constraint Satisfaction.- Extended Abstracts.- Solving the 24 Puzzle with Instance Dependent Pattern Databases.- Combining Feature Selection and Feature Construction to Improve Concept Learning for High Dimensional Data.- A Qualitative Spatio-temporal Abstraction of a Disaster Space.- The Cruncher: Automatic Concept Formation Using Minimum Description Length.- Experiments with Multiple Abstraction Heuristics in Symbolic Verification.- Probabilistic Abstraction of Uncertain Temporal Data for Multiple Subjects.- Learning Classifiers Using Hierarchically Structured Class Taxonomies.- Feature-Discovering Approximate Value Iteration Methods.- Invited Talks.- Designing Views to Efficiently Answer Real SQL Queries.-The Multi-depot Periodic Vehicle Routing Problem.- Abstract Representation in Painting and Computing.- Research Summaries.- Categorizing Gene Expression Correlations with Bioclinical Data: An Abstraction Based Approach.- Learning Abstract Scheduling Models.- Knowledge Acquisition on Manipulation of Flow and Water Quality Models.- Abstraction and Multiple Abstraction in the Symbolic Modeling of the Environment of Mobile Robots.- Sequential Decision Making Under Uncertainty.- Automatic State Abstraction for Pathfinding in Real-Time Video Games.- Model-Based Search.- Learning Skills in Reinforcement Learning Using Relative Novelty.