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

Munoz-Avila,Hector,Ricci,Francesco Springer
出版时间:

2005-09-27  

出版社:

Springer  

作者:

Munoz-Avila,Hector,Ricci,Francesco  

页数:

654  

内容概要

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.

书籍目录

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 ExpertsScientific 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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