By Debbie Richards, Kathrin Boettger, Oscar Aguilera (auth.), Bob McKay, John Slaney (eds.)

ISBN-10: 3540001972

ISBN-13: 9783540001973

ISBN-10: 3540361871

ISBN-13: 9783540361879

This e-book constitutes the refereed complaints of the fifteenth Australian Joint convention on synthetic Intelligence, AI 2002, held in Canberra, Australia in December 2002.

The sixty two revised complete papers and 12 posters offered have been conscientiously reviewed and chosen from 117 submissions. The papers are geared up in topical sections on common language and knowledge retrieval, wisdom illustration and reasoning, deduction, studying idea, brokers, clever platforms. Bayesian reasoning and category, evolutionary algorithms, neural networks, reinforcement studying, constraints and scheduling, neural community purposes, satisfiability reasoning, computing device studying purposes, fuzzy reasoning, and case-based reasoning.

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Extra info for AI 2002: Advances in Artificial Intelligence: 15th Australian Joint Conference on Artificial Intelligence Canberra, Australia, December 2–6, 2002 Proceedings

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3%. Not surprisingly PCS(ICF) was greatly affected by this local information but not PCS(IDF). 4 Further Improvement In this paper, the simple classification algorithm One&Only shows good performance in comparison to the algorithms based on both ICF and IDF factors. 2% terms in the testing document. In the future, the class feature sets extracted from more extensive training data would improve classification algorithm performance. g. “ (Hyundai enterpreneur)) because Korean is not a case-sensitive language.

0% of total feature sets). 2% of terms in the testing documents being unclassified. If these terms were classified as some class feature sets, then the classification performance would be different. 2 Result of Document Classification In terms of the precision ratio of document classification with 80 sample texts (8 document categories and each class has 10 sample texts), the best performance was obtained by PCS(ICF) weighted with a term frequency in a document. 3% of testing documents. 3% worse than the best algorithm.

3 Ordered Choice Logic Programming An ordered choice logic program [DVV00] is a collection of choice logic programs, called components, each representing a portion of information. The relevance or preciseness of each component with respect to the other components is expressed by a strict pointed partial order4 . Definition 1. An Ordered Choice Logic Program, or OCLP, is a pair C, ≺ where C is a finite set of choice logic programs, called components, and “≺” is a strict pointed partial order on C.

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AI 2002: Advances in Artificial Intelligence: 15th Australian Joint Conference on Artificial Intelligence Canberra, Australia, December 2–6, 2002 Proceedings by Debbie Richards, Kathrin Boettger, Oscar Aguilera (auth.), Bob McKay, John Slaney (eds.)


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