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Titlebook: Case-Based Reasoning Research and Development; 7th International Co Rosina O. Weber,Michael M. Richter Conference proceedings 2007 Springer

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书目名称Case-Based Reasoning Research and Development
副标题7th International Co
编辑Rosina O. Weber,Michael M. Richter
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Case-Based Reasoning Research and Development; 7th International Co Rosina O. Weber,Michael M. Richter Conference proceedings 2007 Springer
描述The International Conference on Case-Based Reasoning (ICCBR) is the pre-eminent international meeting on case-based reasoning (CBR). ICCBR 2007 (http://www.iccbr.org./iccbr07/) was the seventh in this series, presenting the most significant contributions in the field of CBR. The conference took place in Belfast, Northern Ireland, UK, during August 13-16, 2007. ICCBR and its sister conferences ECCBR (European Conference on Case-Based Reasoning) alternate every year. ICCBR 2007 followed a series of six successful international conferences previously held in Sesimbra, Portugal (1995); Providence, Rhode Island, USA (1997); Seeon, Germany (1999); Vancouver, Canada (2001); Trondheim, Norway (2003); and C- cago, Illinois, USA (2005). The European Conferences on Case-Based Reasoning (ECCBR) were held as European workshops in Kaiserslautern, Germany (1993); Chantilly, France (1994); Lausanne, Switzerland (1996); Dublin, Ireland (1998); and Trento, Italy (2000); and as European conferences in Aberdeen, UK (2002); Madrid, Spain (2004); and Lykia World, Turkey (2006). Days one, two, and four comprised presentations and posters on theoretical and - plied CBR research. In order to emphasize the
出版日期Conference proceedings 2007
关键词CBR agents; Fuzzy; Navigation; Planning; Service-oriented Computing; Workflow; adaptive learning; case-base
版次1
doihttps://doi.org/10.1007/978-3-540-74141-1
isbn_softcover978-3-540-74138-1
isbn_ebook978-3-540-74141-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2007
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A Case-Based Framework for Collaborative Semantic Search in Knowledge Siftery-driven search system based on Web services. The Knowledge Sifter architecture is extended to include a case-based methodology for collaborative semantic search, including case creation, indexing and retrieval services. A collaborative filtering methodology is presented that uses stored cases as a
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Acquiring Word Similarities with Higher Order Association Miningones for estimating their similarity. If word . co-occurs with word ., we say . and . share a first order association between them. If . co-occurs with . in some documents, and . with . in some others, then . and . are said to share a second order co-occurrence via .. Higher orders of co-occurrence
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When Similar Problems Don’t Have Similar Solutionsstruct the case base invariably contains erroneous, noisy cases. Automated removal of these noisy cases can improve system accuracy. In addition, error rates for nearest neighbour classifiers can often be reduced by removing cases to give smoother decision boundaries between classes. In this paper w
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Using Cases Utility for Heuristic Planning Improvementarch tree becomes a key issue, in order to select efficiently nodes to evaluate from the successors of the current search node. In a previous work, we successfully applied a CBR approach to order nodes for evaluation, thus reducing the number of calls to the heuristic function. However, once cases w
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