Implicitly - supervised fuzzy pattern recognition

Kaoru Hirota; Witold Pedrycz

Implicitly - supervised fuzzy pattern recognition

Kaoru Hirota^*, Witold Pedrycz

^*此作品的通讯作者

Hosei University

科研成果: 会议稿件 › 论文 › 同行评审

摘要

Introduced is a new model of fuzzy pattern recognition where data available about class membership are given implicitly rather than explicitly. While the explicit classification training set conveys complete details about class membership, the implicit format of classification lends itself to more synthetic forms of classification outcomes (such as those expressed in terms of similarities between some pairs of patterns). The relevant architectures are proposed along with the pertinent learning schemes.

源语言	英语
页	65-69
页数	5
出版状态	已出版 - 1994
已对外发布	是
活动	Proceedings of the 1994 1st International Joint Conference of NAFIPS/IFIS/NASA - San Antonio, TX, USA 期限: 18 12月 1994 → 21 12月 1994

会议

会议	Proceedings of the 1994 1st International Joint Conference of NAFIPS/IFIS/NASA
市	San Antonio, TX, USA
时期	18/12/94 → 21/12/94

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Hirota, K., & Pedrycz, W. (1994). Implicitly - supervised fuzzy pattern recognition. 65-69. 论文发表于 Proceedings of the 1994 1st International Joint Conference of NAFIPS/IFIS/NASA, San Antonio, TX, USA.

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title = "Implicitly - supervised fuzzy pattern recognition",

abstract = "Introduced is a new model of fuzzy pattern recognition where data available about class membership are given implicitly rather than explicitly. While the explicit classification training set conveys complete details about class membership, the implicit format of classification lends itself to more synthetic forms of classification outcomes (such as those expressed in terms of similarities between some pairs of patterns). The relevant architectures are proposed along with the pertinent learning schemes.",

author = "Kaoru Hirota and Witold Pedrycz",

year = "1994",

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note = "Proceedings of the 1994 1st International Joint Conference of NAFIPS/IFIS/NASA ; Conference date: 18-12-1994 Through 21-12-1994",

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AU - Hirota, Kaoru

AU - Pedrycz, Witold

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AB - Introduced is a new model of fuzzy pattern recognition where data available about class membership are given implicitly rather than explicitly. While the explicit classification training set conveys complete details about class membership, the implicit format of classification lends itself to more synthetic forms of classification outcomes (such as those expressed in terms of similarities between some pairs of patterns). The relevant architectures are proposed along with the pertinent learning schemes.

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M3 - Paper

AN - SCOPUS:0028753431

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T2 - Proceedings of the 1994 1st International Joint Conference of NAFIPS/IFIS/NASA

Y2 - 18 December 1994 through 21 December 1994

ER -

Implicitly - supervised fuzzy pattern recognition

摘要

会议

其它文件与链接

指纹

引用此