文件名称:Bayesian
介绍说明－－下载内容均来自于网络，请自行研究使用
利用贝叶斯理论计算各种参数,如熵，交叉熵等-it can calculate the parameters such as condentropy，condmutualinfo，entropy..
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Bayesian-machine-learn-data-mining\condentropy.m
..................................\condmutualinfo.m
..................................\demo_mi.m
..................................\elementmexheader.h
..................................\entropy.m
..................................\estcondentropy.cpp
..................................\estcondentropy.dll
..................................\estcondentropy.mexglx
..................................\estcondentropy.mexmac
..................................\estentropy.cpp
..................................\estentropy.dll
..................................\estentropy.mexglx
..................................\estentropy.mexmac
..................................\estjointentropy.cpp
..................................\estjointentropy.dll
..................................\estjointentropy.mexglx
..................................\estjointentropy.mexmac
..................................\estmutualinfo.cpp
..................................\estmutualinfo.dll
..................................\estmutualinfo.mexglx
..................................\estmutualinfo.mexmac
..................................\estpa.cpp
..................................\estpa.dll
..................................\estpa.mexglx
..................................\estpa.mexmac
..................................\estpab.cpp
..................................\estpab.dll
..................................\estpab.mexglx
..................................\estpab.mexmac
..................................\findjointstateab.cpp
..................................\findjointstateab.dll
..................................\findjointstateab.mexglx
..................................\findjointstateab.mexmac
..................................\jointentropy.m
..................................\makeosmex.m
..................................\mergemultivariables.m
..................................\miinclude.h
..................................\mutualinfo.m
..................................\readme
Bayesian-machine-learn-data-mining
..................................\condmutualinfo.m
..................................\demo_mi.m
..................................\elementmexheader.h
..................................\entropy.m
..................................\estcondentropy.cpp
..................................\estcondentropy.dll
..................................\estcondentropy.mexglx
..................................\estcondentropy.mexmac
..................................\estentropy.cpp
..................................\estentropy.dll
..................................\estentropy.mexglx
..................................\estentropy.mexmac
..................................\estjointentropy.cpp
..................................\estjointentropy.dll
..................................\estjointentropy.mexglx
..................................\estjointentropy.mexmac
..................................\estmutualinfo.cpp
..................................\estmutualinfo.dll
..................................\estmutualinfo.mexglx
..................................\estmutualinfo.mexmac
..................................\estpa.cpp
..................................\estpa.dll
..................................\estpa.mexglx
..................................\estpa.mexmac
..................................\estpab.cpp
..................................\estpab.dll
..................................\estpab.mexglx
..................................\estpab.mexmac
..................................\findjointstateab.cpp
..................................\findjointstateab.dll
..................................\findjointstateab.mexglx
..................................\findjointstateab.mexmac
..................................\jointentropy.m
..................................\makeosmex.m
..................................\mergemultivariables.m
..................................\miinclude.h
..................................\mutualinfo.m
..................................\readme
Bayesian-machine-learn-data-mining