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J-GLOBAL ID：202002239011751184
Reference number：20A1192919
Study on Maximum Bayes Boundary-ness Training for Pattern Classification
ベイズ境界性を最大化する分類器学習法の提案
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Author (5)：
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Material：
Volume：
119
Issue：
481(PRMU2019 64-101)(Web)
Page：
243-248 (WEB ONLY)
Publication year：
Mar. 09, 2020
JST Material Number：
S0532B
ISSN：
0913-5685
Document type：
Proceedings
Article type：
原著論文
Country of issue：
Japan (JPN)
Language：
JAPANESE (JA)
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Semi thesaurus term：
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification (1)：
JST classification
Category name(code) classified by JST.
Artificial intelligence
Reference (13)：
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M. Stone. “Cross-Validatory Choice and Assessment of Statistical Predictions”. Journal of the royal statistical society. Series B (Methodological), pp. 111-147, 1974.
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K. Fukunaga. “Introduction to Statistical Pattern Recognition”. Academic Press, 第2版, 10 1990.
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B. Efron and R. J. Tibshirani.“An Introduction to the Bootstrap”. No. 57 in Monographs on Statistics and Applied Probability. Chapman & Hall/CRC, Boca Raton, Florida, USA, 1993.
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H. Akaike. “A New Look at the Statistical Model Identification”. IEEE Transactions on Automatic Control, Vol. 19, No. 6, pp. 716-723, 1974.
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V. N. Vapnik. “Statistical Learning Theory”. WileyInterscience, 1998.
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