Recognition and geometrical on-line learning algorithm of probability distributions

Toshiaki Aida

doi:10.1109/ijcnn.2000.861300

Recognition and geometrical on-line learning algorithm of probability distributions

研究成果 › 査読

抄録

An on-line learning algorithm for probability distributions is constructed in a reparameterization invariant form. It enables us to identify the distributions which transform from one to another by reparameterization. This is an essential property not only for pattern recognition problems but also for the property of `information'. We can find the algorithm to be optimal, since conformal gauge reduces the problem to a non-covariant case.

本文言語	English
ページ	175-180
ページ数	6
DOI	https://doi.org/10.1109/ijcnn.2000.861300
出版ステータス	Published - 2000
外部発表	はい
イベント	International Joint Conference on Neural Networks (IJCNN'2000) - Como, Italy 継続期間: 7月 24 2000 → 7月 27 2000

Other

Other	International Joint Conference on Neural Networks (IJCNN'2000)
City	Como, Italy
Period	7/24/00 → 7/27/00

ASJC Scopus subject areas

ソフトウェア
人工知能

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10.1109/ijcnn.2000.861300

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Recognition and geometrical on-line learning algorithm of probability distributions

抄録

Other

ASJC Scopus subject areas

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