Frans Coenen & Alun Preece 
Research and Development in Intelligent Systems XVII [PDF ebook] 
Proceedings of ES2000, the Twentieth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Cambridge, December 2000

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M.A. Bramer University of Portsmouth, UK This volume comprises the refereed technical papers presented at ES2ooo, the Twentieth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, held in Cambridge in December 2000, together with an invited keynote paper by Professor Austin Tate. The conference was organised by SGES, the British Computer Society Specialist Group on Knowledge Based Systems and Applied Artificial Intelligence. The papers in this volume present new and innovative developments in the field, divided into sections on learning, case-based reasoning, knowledge representation, knowledge engineering, and belief acquisition and planning. The refereed papers begin with a paper entitled 'A Resource Limited Artificial Immune System for Data Analysis’, which describes a machine learning algorithm inspired by the natural immune system. This paper was judged to be the best refereed technical paper submitted to the conference. The considerable growth in interest in machine learning in recent years is well reflected in the content of the next three sections, which comprise four papers on case-based reasoning and nine papers on other areas of machine learning. The remaining papers are devoted to knowledge engineering, knowledge representation, belief acquisition and planning, and include papers on such important emerging topics as knowledge reuse and representing the content of complex multimedia documents on the web. This is the seventeenth volume in the Research and Development series. The Application Stream papers are published as a companion volume under the title Applications and Innovations in Intelligent Systems VIII.

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Język Angielski ● Format PDF ● ISBN 9781447102694 ● Redaktor Frans Coenen & Alun Preece ● Wydawca Springer London ● Opublikowany 2012 ● Do pobrania 3 czasy ● Waluta EUR ● ID 4627806 ● Ochrona przed kopiowaniem Adobe DRM
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