Research and development in intelligent systems XVI: proceedings of ES99, the nineteenth SGES International Conference on Knowledge-Based Systems and Applied Artificial Intelligence, Cambridge, December 1999
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.
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The KRAFT Architecture for Knowledge Fusion and Transformation
Sequencing Training Examples for Iterative Knowledge Refinement
Multistrategy Relational Learning of Heuristics for Problem Solving
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abstraction adaptation triple adjacency matrix agent application approach architecture Artificial Intelligence camera actions Case-Based Reasoning CaseMaker chunks CommonKADS components Computer concept constraints control rule coverage data mining database datasets decision tree defined described domain efficiency evaluation Expert Systems extracted Figure goal HAMlET heuristic HLCs identified ILP systems implementation inference input instances interface Internet intersection Istar iterations knowledge base knowledge engineer knowledge server KRAFT KrusTTooI language lazy learning LazyRule learning algorithm linked Machine Learning method nearest neighbour algorithm node object ontology operator paper performance perspective Prism problem graph problem space protocol query refined KBSs regions relations representation represented retrieval saccade Section selection semantic semantic network similar Simpson's paradox solution solving spatial specRx structure subset Table target task TDIDT techniques template time-tabling problems training examples training set types variables