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基于范例的推理進(jìn)展

基于范例的推理進(jìn)展

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作 者: Thomas Roth-Berghofer 著
出版社: 崇文書(shū)局(原湖北辭書(shū)出版社)
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標(biāo) 簽: 暫缺

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ISBN: 9783540368434 出版時(shí)間: 2006-12-01 包裝: 平裝
開(kāi)本: 頁(yè)數(shù): 字?jǐn)?shù):  

內(nèi)容簡(jiǎn)介

  This book constitutes the refereed proceedings of the 8th European Conference on Case-Based Reasoning, ECCBR 2004, held in Fethiye, Turkey in September 2006.The 31 revised full papers and 5 revised application papers presented together with 2 invited papers and 2 abstracts of invited talks were carefully reviewed and selected from numerous submissions. All current issues in case-based reasoning, ranging from theoretical and methodological issues to advanced applications in various fields are addressed, thus presenting a representative snapshot of current CBR research.

作者簡(jiǎn)介

暫缺《基于范例的推理進(jìn)展》作者簡(jiǎn)介

圖書(shū)目錄

Invited Talks
The Fhn Begins with Retrieval: Explanation and CBR
Completeness Criteria for Retrieval in Recommender Systems
 Is Consideration of Background Knowledge in Data Diiven Solutions Possible at All?
 Reality Meets Research
Research Papers
 Multi-agent Case-Based Reasoning for Cooperative Reinforcement Learners
 Retrieving and Reusing Game Plays for Robot Soccer
 Self-organising Hierarchical Retrieval in a Case-Agent System
 COBRAS: Cooperative CBR System for Bibliographical Reference Recommendation
 A Knowledge-Light Approach to Regression Using Case-Based Reasoning
 Case-Base Maintenance for CCBR-Based Process Evolution
 Evaluating CBR Systems Using Different Data Sources: A Case Study
 Decision Diagrams: Fast and Flexible Support for Case Retrieval and Recommendation
 Case-Based Reasoning for Knowledge-Intensive Template Selection During Text Generation
 Rough Set Feature Selection Algorithms for Textual Case-Based Classification
 Experience Management with Case-Based Assistant Systems
 The Needs of the Many: A Case-Based Group Recommender System
 Contextualised Ambient Intelligence Through Case-Based Reasoning
 Improving Annotation in the Semantic Web and Case Authoring in Textual CBR
 Unsupervised Case Memory Organization: Analysing Computational Time and Soft Computing Capabilities
 Further Experiments in Case-Based Collaborative Web Search
 Finding Similar Deductive Consequences - A New Search-Based Framework for Unified Reasoning from Cases and General Knowledg
 Case-Based Sequential Ordering of Songs for Playlist Recommendation
……
Application Papers
Author Index

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