Adaptive on-line learning in changing environments

Noboru Murata, Klaus Robert Müller, Andreas Ziehe, Shun Ichi Amari

研究成果: Conference contribution

40 引用 (Scopus)

抜粋

An adaptive on-line algorithm extending the learning of learning idea is proposed and theoretically motivated. Relying only on gradient flow information it can be applied to learning continuous functions or distributions, even when no explicit loss function is given and the Hessian is not available. Its efficiency is demonstrated for a non-stationary blind separation task of acoustic signals.

元の言語English
ホスト出版物のタイトルAdvances in Neural Information Processing Systems 9 - Proceedings of the 1996 Conference, NIPS 1996
出版者Neural information processing systems foundation
ページ599-605
ページ数7
ISBN(印刷物)0262100657, 9780262100656
出版物ステータスPublished - 1997 1 1
外部発表Yes
イベント10th Annual Conference on Neural Information Processing Systems, NIPS 1996 - Denver, CO, United States
継続期間: 1996 12 21996 12 5

出版物シリーズ

名前Advances in Neural Information Processing Systems
ISSN(印刷物)1049-5258

Conference

Conference10th Annual Conference on Neural Information Processing Systems, NIPS 1996
United States
Denver, CO
期間96/12/296/12/5

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

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  • これを引用

    Murata, N., Müller, K. R., Ziehe, A., & Amari, S. I. (1997). Adaptive on-line learning in changing environments. : Advances in Neural Information Processing Systems 9 - Proceedings of the 1996 Conference, NIPS 1996 (pp. 599-605). (Advances in Neural Information Processing Systems). Neural information processing systems foundation.