代码搜索:Learning

找到约 5,352 项符合「Learning」的源代码

代码结果 5,352
www.eeworm.com/read/128468/14295399

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
www.eeworm.com/read/213492/15133668

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
www.eeworm.com/read/481713/1293566

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
www.eeworm.com/read/459311/1570069

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
www.eeworm.com/read/458434/1586229

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
www.eeworm.com/read/246438/4494361

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
www.eeworm.com/read/243143/4532209

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
www.eeworm.com/read/222261/4821450

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
www.eeworm.com/read/188843/5206318

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