Design and evaluation of an environment to automate the construction of inductive applications

Akihiro Suyama, Naoya Negishi, Takahira Yamaguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Here is presented CAMLET that is a platform for automatic composition of inductive applications using ontologies that specify inductive learning methods. CAMLET constructs inductive applications using process and object ontologies. After instantiating, compiling and executing the basic design specification, CAMLET refines the specification based on the following refinement strategies: crossover of control structures, random generation and process replacement by heuristic. Using fourteen different data sets form the UCI repository of ML databases and and the database on meningoencephalitis with human expert’s evaluation, experimental results have shown us that CAMLET supports a user in constructing inductive applications with better competence.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages103-114
Number of pages12
Volume1721
ISBN (Print)354066713X, 9783540667131
DOIs
Publication statusPublished - 1999
Externally publishedYes
Event2nd International Conference on Discovery Science, DS 1999 - Tokyo, Japan
Duration: 1999 Dec 61999 Dec 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1721
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Conference on Discovery Science, DS 1999
CountryJapan
CityTokyo
Period99/12/699/12/8

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Suyama, A., Negishi, N., & Yamaguchi, T. (1999). Design and evaluation of an environment to automate the construction of inductive applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1721, pp. 103-114). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1721). Springer Verlag. https://doi.org/10.1007/3-540-46846-3_10