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Titlebook: Research and Development in Intelligent Systems XVI; Proceedings of ES99, Max Bramer,Ann Macintosh,Frans Coenen Conference proceedings 2000

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书目名称Research and Development in Intelligent Systems XVI
副标题Proceedings of ES99,
编辑Max Bramer,Ann Macintosh,Frans Coenen
视频video
图书封面Titlebook: Research and Development in Intelligent Systems XVI; Proceedings of ES99, Max Bramer,Ann Macintosh,Frans Coenen Conference proceedings 2000
描述This volume contains the refereed technical papers presented at ES99, the Nineteenth SGES International Conference on Knowledge-Based Systems and Applied Artificial Intelligence, held in Cambridge in December 1999. The papers in this volume present new and innovative developments in the field, divided into sections on knowledge engineering, knowledge discovery, case-based reasoning, learning and knowledge representation and refinement. This is the sixteenth volume in the Research and Development series. The series is essential reading for those who wish to keep up to date with developments in this important field. The Application Stream papers are published as a companion volume under the title .Applications and Innovations in Intelligent Systems VII..
出版日期Conference proceedings 2000
关键词Artificial Intelligence; Expert Systems; Research and Development; classification; heuristics; intelligen
版次1
doihttps://doi.org/10.1007/978-1-4471-0745-3
isbn_softcover978-1-85233-231-0
isbn_ebook978-1-4471-0745-3
copyrightSpringer-Verlag London Limited 2000
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Sequencing Training Examples for Iterative Knowledge Refinement which the KBS gives an incorrect solution. Refinement tools typically use a hill-climbing search to identify suitable repairs. Backtracking search algorithms, developed for constraint satisfaction problems, have been incorporated with an iterative knowledge refinement tool, to solve local maxima pr
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Multistrategy Relational Learning of Heuristics for Problem Solvinglopment. This need is even stronger for the acquisition of control knowledge (heuristics) that transform an application in an efficient application. Inductive Logic Programming (ILP) has proven successful in a wide variety of domains, ranging from drugs design to logic programs synthesis. The majori
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Extracting Constraint Knowledge from Code: A Case-Based Reasoning Approachent models, and a comparative constraint-understanding system would be able to assess the extent to which two models have equivalent constraint semantics. Understanding constraint semantics can be used to support tasks such as mediation and mapping..This paper presents a prototype method for underst
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Automatic Induction of Classification Rules from Examples Using N-Prism work in this field has concentrated on the generation of such rules in the intermediate form of decision trees. An alternative approach is to generate modular classification rules directly from the examples. This paper seeks to establish a revised form of the rule generation algorithm . as a credib
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