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|a pubmed24n0703.xml
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|a (DE-627)NLM211011886
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|a (NLM)21868930
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
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|a Young, T Y
|e verfasserin
|4 aut
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|a Statistical pattern classification with binary variables
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|c 1981
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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|a Date Completed 02.10.2012
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|a Date Revised 12.11.2019
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a Binary random variables are regarded as random vectors in a binary-field (modulo-2) linear vector space. A characteristic function is defined and related results derived using this formulation. Minimax estimation of probability distributions using an entropy criterion is investigated, which leads to an A-distribution and bilinear discriminant functions. Nonparametric classification approaches using Hamming distances and their asymptotic properties are discussed. Experimental results are presented
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|a Journal Article
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|a Liu, P S
|e verfasserin
|4 aut
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| 700 |
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|a Rondon, R J
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 3(1981), 2 vom: 01. Feb., Seite 155-63
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
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| 773 |
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|g volume:3
|g year:1981
|g number:2
|g day:01
|g month:02
|g pages:155-63
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|a GBV_USEFLAG_A
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|a SYSFLAG_A
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|a GBV_NLM
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|a GBV_ILN_350
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|a AR
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|d 3
|j 1981
|e 2
|b 01
|c 02
|h 155-63
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