Advances in Case-Based Reasoning 案例式推理进展/会议录

出版时间：2004-10  出版社：北京燕山出版社  作者：Funk, Peter; Gonz Lez Calero, Pedro A.; Gonzalez Calero, Pedro A.  页数：822  

内容概要

This book constitutes the refereed proceedings of the 7th European Conference on Case-Based Reasoning, ECCBR 2004, held in Madrid, Spain in August/September 2004.　　The 56 revised full papers presented together with an invited paper and the abstract of an invited talk were carefully reviewed and selected from 85 submissions. All current issues in case-based reasoning, ranging from theoretical and methodological issues to advanced applications in various fields are addressed.

书籍目录

Invited Papers  Knowledge-Intensive Case-Based Reasoning in CREEK  Designing Industrial Case-Based Reasoning ApplicationsResearch Papers  Maintaining Case-Based Reasoning Systems:A Machine Learning Approach  JColibri: An Object-Oriented Framework for Building CBR Systems  Memoire: Case Based Reasoning Meets the Semantic Web in Biology and Medicine  Facilitating CBR for Incompletely-Described Cases:Distance Metrics for Partial Problem Descriptions  Dialogue Management for Conversational Case-Based Reasoning  Hybrid Recommender Systems with Case-Based Components  Measures of Solution Accuracy in Case-Based Reasoning Systems  Representing Similarity for CBR in XML  An Analysis of Case-Base Editing in a Spare Filtering System  A Case Based Reasoning Approach to Story Plot Generation  Explanation Oriented Retrieval  Exploiting Background Knowledge when Learning Similarity Measures  Software Design Retrieval Using Bayesian Networks and WordNet  Case-Base Injection Schemes to Case Adaptation Using Genetic Algorithms  Learning Feature Taxonomies for Case Indexing  Maintenance Memories: Beyond Concepts and Techniques for Case Base Maintenance  Textual Reuse for Email Response  Case-Based, Decision-Theoretic, HTN Planning  Using CBR in the Exploration of Unknown Environments with an Autonomous Agent  Ceaseless Case-Based Reasoning  Explanation Service for Complex CBR Applications  Explaining the Pros and Cons of Conclusions in CBR  Incremental Relaxation of Unsuccessful Queries  Justification-Based Case Retention  Case Retrieval Using Nonlinear Feature-Space Transformation  Case-Based Object Recognition  ……Application PapersAuthor Index