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