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找到约 5,352 项符合「Learning」的源代码

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m mmln.m

function [mi,sigma,solution,minp,topp,N,t]=mmln(X,epsilon,tmax,t,N) % MMLN Minimax learning for Gaussian distribution. % [mi,sigma,solution,minp,topp,N,t]=mmln(X,epsilon,tmax,t,N) % % MMLN implem
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www.eeworm.com/read/373069/2767150

m mmln.m

function [mi,sigma,solution,minp,topp,N,t]=mmln(X,epsilon,tmax,t,N) % MMLN Minimax learning for Gaussian distribution. % [mi,sigma,solution,minp,topp,N,t]=mmln(X,epsilon,tmax,t,N) % % MMLN implem
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www.eeworm.com/read/366959/2857613

m mmln.m

function [mi,sigma,solution,minp,topp,N,t]=mmln(X,epsilon,tmax,t,N) % MMLN Minimax learning for Gaussian distribution. % [mi,sigma,solution,minp,topp,N,t]=mmln(X,epsilon,tmax,t,N) % % MMLN implem
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www.eeworm.com/read/266483/4272248

m mmln.m

function [mi,sigma,solution,minp,topp,N,t]=mmln(X,epsilon,tmax,t,N) % MMLN Minimax learning for Gaussian distribution. % [mi,sigma,solution,minp,topp,N,t]=mmln(X,epsilon,tmax,t,N) % % MMLN implem
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www.eeworm.com/read/367442/9747862

m mmln.m

function [mi,sigma,solution,minp,topp,N,t]=mmln(X,epsilon,tmax,t,N) % MMLN Minimax learning for Gaussian distribution. % [mi,sigma,solution,minp,topp,N,t]=mmln(X,epsilon,tmax,t,N) % % MMLN implem
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www.eeworm.com/read/411674/11233739

m svm2.m

function model = svm2(data,options) % SVM2 Learning of binary SVM classifier with L2-soft margin. % % Synopsis: % model = svm2(data) % model = svm2(data,options) % % Description: % This function le
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www.eeworm.com/read/236196/14028986

xsd imscp_rootv1p1p2.xsd

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www.eeworm.com/read/192103/8403805

htm appa_05.htm

Answers to Chapter 6 Exercises (Learning Perl, 3rd Edition)
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www.eeworm.com/read/192103/8403818

htm appa_06.htm

Answers to Chapter 7 Exercises (Learning Perl, 3rd Edition)
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www.eeworm.com/read/192103/8403827

htm ch04_04.htm

Return Values (Learning Perl, 3rd Edition)
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