代码搜索：Learning
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www.eeworm.com/read/347918/3161993
java teachingsynapse.java
package org.joone.engine.learning;
import java.util.Iterator;
import org.joone.engine.*;
import org.joone.io.*;
import org.joone.net.NetCheck;
import java.util.TreeSet;
public class TeachingSynapse
www.eeworm.com/read/347918/3161997
java comparingsynapse.java
package org.joone.engine.learning;
import java.util.Iterator;
import org.joone.engine.*;
import org.joone.io.*;
import java.util.TreeSet;
import org.joone.net.NetCheck;
public class ComparingSynaps
www.eeworm.com/read/324319/3504147
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/299258/3854888
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/287985/4012964
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/449039/1682977
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/449035/1683017
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/430506/1929412
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/385191/2594821
svn-base test_bnpc.m.svn-base
% test BNPC
close all;
clear all;
add_BNT_to_path;
%test='pearson'; % Pearson's Chi2
%test='LRT'; % Likelihood ratio test G2
fprintf('\n=== Structure Learning with BN-PC (Power Constructor) algo
www.eeworm.com/read/381136/2649081
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