A task decomposition algorithm using radial basis functions for classification problems

Seiji Ishihara, Harukazu Igarashi

研究成果: Conference contribution

抜粋

This paper proposes an algorithm for decomposing a multi-class classification problem into a set of two-class classification problems. The algorithm divides a set of input pattern vectors in each class into subsets according to the distribution of the selected input pattern vectors. The distribution is represented by RBF network, whose parameters are estimated according to the evaluation based on MDL criterion. In this paper, the algorithm applied for constructing a modular neural network. Experimental results showed that the algorithm simplifies multi-class classification problems effectively.

元の言語English
ホスト出版物のタイトルProceedings of the Digital Imaging Computing
ホスト出版物のサブタイトルTechniques and Applications, DICTA 2005
ページ2-7
ページ数6
DOI
出版物ステータスPublished - 2005 12 1
イベントDigital Imaging Computing: Techniques and Applications, DICTA 2005 - Cairns, Australia
継続期間: 2005 12 62005 12 8

出版物シリーズ

名前Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005
2005

Conference

ConferenceDigital Imaging Computing: Techniques and Applications, DICTA 2005
Australia
Cairns
期間05/12/605/12/8

ASJC Scopus subject areas

  • Engineering(all)

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  • これを引用

    Ishihara, S., & Igarashi, H. (2005). A task decomposition algorithm using radial basis functions for classification problems. : Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005 (pp. 2-7). [1578100] (Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005; 巻数 2005). https://doi.org/10.1109/DICTA.2005.1578100