Adaptive on-line learning in changing environments

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

研究成果: Conference contribution

41 被引用数 (Scopus)

抄録

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.

本文言語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
出版社Neural information processing systems foundation
ページ599-605
ページ数7
ISBN(印刷版)0262100657, 9780262100656
出版ステータスPublished - 1997 1 1
外部発表はい
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(印刷版)1049-5258

Conference

Conference10th Annual Conference on Neural Information Processing Systems, NIPS 1996
CountryUnited States
CityDenver, CO
Period96/12/296/12/5

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

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