Case-Based Reasoning Research and Development 基于案例推理研究与发展/会议录

Case-Based Reasoning Research and Development 基于案例推理研究与发展/会议录 - 图书城

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作者:
Hector Munoz-Avila,Francesco Ricci 著
ISBN:
9783540281740 , 3540281746
出版社:
出版日期:
2005-9-1
定价:
858.80
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内容提要:
This book constitutes the refereed proceedings of the 6th International Conference on Case-Based Reasoning, ICCBR 2005, held in Chicago, IL, USA, in August 2005. The 19 revised full research papers and 26 revised poster papers presented together with the abstracts of 3 invited talks were carefully reviewed and selected from 74 submissions. The papers address all current foundational, theoretical and research aspects of case-based reasoning as well as advanced applications either with innovative commercial deployment or practical, social, environmental or economic significance.
目录:
Invited Talks
The Virtue of Reward: Performance, Reinforcement and Discovery in Case-Based Reasoning
Learning to Optimize Plan Execution in Information Agents
Cased-Based Reasoning by Human Experts
Scientific Papers
Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game
An Ensemble of Case-Based Classifiers for High-Dimensiona] Biological Domains
Language Games: Solving the Vocabulary Problem in Multi-Case-Base Reasoning
Evaluation and Monitoring of the Air-Sea Interaction Using a CBR-Agents Approach
A Comparative Analysis of Query Similarity Metrics for Community-Based Web Search
A Case-Based Approach for Indoor Location
P2P Case Retrieval with an Unspecified Ontology
Autonomous Internal Control System for Small to Medium Firms
The Application of a Case-Based Reasoning System to Attention-Deficit Hyperactivity Disorder
Reasoning with Textual Cases
Using Ensembles of Binary Case-Based Reasoners
Transfer in Visual Case-Based Problem Solving
Generating Estimates of Classification Confidence for a Case-Based Spam Filter
Improving Gene Selection in Microarray Data Analysis Using Fuzzy Patterns Inside a CBR System
CBR for State Value Function Approximation in Reinforcement Learning
Using CBR to Select Solution Strategies in Constraint Programming Case-Based Art
Supporting Conversation Variability in COBBER Using Causal Loops
Opportunities for CBR in Learning by Doing
……
Author Index
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