Statistical Mechanics of On-Line Learning Using Correlated Examples

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抄録

We consider a model composed of nonlinear perceptrons and analytically investigate its generalization performance using correlated examples in the framework of on-line learning by a statistical mechanical method. In Hebbian and AdaTron learning, the larger the number of examples used in an update, the slower the learning. In contrast, Perceptron learning does not exhibit such behaviors, and the learning becomes fast in some time region.

収録刊行物

  • IEICE transactions on information and systems

    IEICE transactions on information and systems 94(10), 1941-1944, 2011-10-01

    一般社団法人 電子情報通信学会

参考文献:  5件中 1-5件 を表示

各種コード

  • NII論文ID(NAID)
    10030193357
  • NII書誌ID(NCID)
    AA10826272
  • 本文言語コード
    ENG
  • 資料種別
    SHO
  • ISSN
    09168532
  • データ提供元
    CJP書誌  J-STAGE 
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