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200 1 $aˆA ‰Probabilistic Theory of Pattern Recognition$fLuc Devroye, Laszlo Gyorfi, Gabor Lugosi
210   $aNew York$cSpringer$d1996
215   $aXV, 636 p.$cill.$d25 cm
410  1$1001VAN00076490$12001 $aStochastic modelling and applied probability$1210  $aNew York [etc.]$cSpringer$v31
606   $a62G07$xDensity estimation [MSC 2020]$3VANC024543$2MF
606   $a62H30$xClassification and discrimination; cluster analysis (statistical aspects) [MSC 2020]$3VANC028931$2MF
606   $a68T05$xLearning and adaptive systems in artificial intelligence [MSC 2020]$3VANC023390$2MF
606   $a68T10$xPattern recognition, speech recognition [MSC 2020]$3VANC020788$2MF
610   $aClassification$9KW:K
610   $aCognition$9KW:K
610   $aComplexity$9KW:K
610   $aPattern recognition$9KW:K
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701  1$aGyorfi$bLaszlo$3VANV050374$0441760
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