Learning with ensemble of linear perceptrons

Pitoyo Hartono*, Shuji Hashimoto

*この研究の対応する著者

    研究成果: Conference contribution

    2 被引用数 (Scopus)

    抄録

    In this paper we introduce a model of ensemble of linear perceptrons. The objective of the ensemble is to automatically divide the feature space into several regions and assign one ensemble member into each region and training the member to develop an expertise within the region. Utilizing the proposed ensemble model, the learning difficulty of each member can be reduced, thus achieving faster learning while guaranteeing the overall performance.

    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)
    ページ115-120
    ページ数6
    3697 LNCS
    出版ステータスPublished - 2005
    イベント15th International Conference on Artificial Neural Networks: Biological Inspirations - ICANN 2005 - Warsaw
    継続期間: 2005 9 112005 9 15

    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)
    3697 LNCS
    ISSN(印刷版)03029743
    ISSN(電子版)16113349

    Other

    Other15th International Conference on Artificial Neural Networks: Biological Inspirations - ICANN 2005
    CityWarsaw
    Period05/9/1105/9/15

    ASJC Scopus subject areas

    • コンピュータ サイエンス(全般)
    • 生化学、遺伝学、分子生物学(全般)
    • 理論的コンピュータサイエンス

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