CAMLET: A platform for automatic composition of inductive learning systems using ontologies

Akihiro Suyama, Naoya Negishi, Takahira Yamaguchi

研究成果: Conference contribution

10 被引用数 (Scopus)

抄録

Here is presented a platform for automatic composition of inductive learning systems using ontologies called CAMLET, based on knowledge modeling and ontologies engineering technique. CAMLET constructs an inductive applications with better competence to a given data set, using process and object ontologies. Afterwards, CAMLET instantiates and refines a constructed system based on the following refinement strategies: greedy alteration, random generation and heuristic alteration. Using the UCI repository of ML databases and domain theories, experimental results have shown us that CAMLET supports a user in constructing a inductive applications with best competence.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版社Springer Verlag
ページ205-215
ページ数11
1531
ISBN(印刷版)354065271X, 9783540652717
DOI
出版ステータスPublished - 1998
外部発表はい
イベント5th Pacific Rim Intemational Conference on Artificial Intelligence, PRICAI 1998 - Singapore, Singapore
継続期間: 1998 11 221998 11 27

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
1531
ISSN(印刷版)03029743
ISSN(電子版)16113349

Other

Other5th Pacific Rim Intemational Conference on Artificial Intelligence, PRICAI 1998
CountrySingapore
CitySingapore
Period98/11/2298/11/27

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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