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Titlebook: Research and Development in Intelligent Systems XX; Proceedings of AI200 Frans Coenen,Alun Preece,Ann Macintosh Conference proceedings 2004

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书目名称Research and Development in Intelligent Systems XX
副标题Proceedings of AI200
编辑Frans Coenen,Alun Preece,Ann Macintosh
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图书封面Titlebook: Research and Development in Intelligent Systems XX; Proceedings of AI200 Frans Coenen,Alun Preece,Ann Macintosh Conference proceedings 2004
描述Frans Coenen University of Liverpool, UK This volume comprises the refereed technical papers presented at AI2003, the Twenty­ third SGAI International Conference on the theory, practice and application of Artificial Intelligence, held in Cambridge in December 2003. The conference was organised by SGAI, the British Computer Society Specialist Group on Artificial Intelligence (previously known as SGES). The papers in this volume present new and innovative developments in the field, divided into sections on Machine Learning, Knowledge Representation and Reasoning, Knowledge Acquisition, Constraint Satisfaction, Scheduling and Natural Language Processing. This year‘s prize for the best refereed technical paper was won by a paper entitled An Improved Hybrid Genetic Algorithm: New Results for the Quadratic Assignment Problem by A. Misevicius (Department of Practical Informatics, Kaunas University of Technology, Lithuania). SGAI gratefully acknowledges the long-term sponsorship of Hewlett-Packard Laboratories (Bristol) for this prize, which goes back to the 1980s. This is the twentieth volume in the Research and Development series. The Application Stream papers are published as a companio
出版日期Conference proceedings 2004
关键词Artificial Intelligence; Expert Systems; Fuzzy; Knowledge Based Systems; Mutation; cognition; genetic algo
版次1
doihttps://doi.org/10.1007/978-0-85729-412-8
isbn_softcover978-1-85233-780-3
isbn_ebook978-0-85729-412-8
copyrightSpringer-Verlag London 2004
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ernational Conference on the theory, practice and application of Artificial Intelligence, held in Cambridge in December 2003. The conference was organised by SGAI, the British Computer Society Specialist Group on Artificial Intelligence (previously known as SGES). The papers in this volume present n
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A Self-Organising Hybrid Model for Dynamic Text Clusteringaviour not only by modifying its parameters but also by an adaptive structure . We test the performance of our model using the larger new Reuters news corpus based on the criteria of classification accuracy and mean quantization error.
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