Presentation 1994/10/21
Partially Supervised Learning for Nearest Neighbor Pattern Classifiers
Tadashi Yamada, Kiichi Urahama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) A learning algorithm is presented for nearest neighbor pattern classifiers with mixed training patterns whose category is known and those with unknown category.Each category has only one prototype which is optimally placed for the classification rate to be maximized.An unsupervised learning step is applied to the patterns with unknown category and a supervised algorithm is used for the patterns with known category.The classification rule includes rejection and generally outputs a fuzzy membership of test patterns.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Nearest neighbor pattern dassifier / Outlier rejection / partially supervised learning
Paper # PRU94-55
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Conference Information
Committee PRU
Conference Date 1994/10/21(1days)
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Paper Information
Registration To Pattern Recognition and Understanding (PRU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Partially Supervised Learning for Nearest Neighbor Pattern Classifiers
Sub Title (in English)
Keyword(1) Nearest neighbor pattern dassifier
Keyword(2) Outlier rejection
Keyword(3) partially supervised learning
1st Author's Name Tadashi Yamada
1st Author's Affiliation Kyushu Institute of Technology()
2nd Author's Name Kiichi Urahama
2nd Author's Affiliation Kyushu Institute of Technology
Date 1994/10/21
Paper # PRU94-55
Volume (vol) vol.94
Number (no) 294
Page pp.pp.-
#Pages 8
Date of Issue