Naive Bayes 源代码

function Bayes() L=8;NUM=200;M=power(2,32); M11=[7.825,6.750,5.835,8.525,6.615,7.065,7.865,4.435]'; E11=[1.304,1.281,0.351,-0.293,…

function [w1] = BayesShrink(y,T) % Bayes Shrinkage Function R = abs(y); R = R - T; R = R .* (R > 0); w1 = y .* R./abs(y);

noinst_LTLIBRARIES = libbayes.la EXTRA_DIST = bayes.h libbayes_la_SOURCES = bayes.cc

function [w1] = BayesShrink(y,T) % Bayes Shrinkage Function R = abs(y); R = R - T; R = R .* (R > 0); w1 = y .* R./abs(y);

function [w1] = BayesShrink(y,T) % Bayes Shrinkage Function R = abs(y); R = R - T; R = R .* (R > 0); w1 = y .* R./abs(y);

function [w1] = BayesShrink(y,T) % Bayes Shrinkage Function R = abs(y); R = R - T; R = R .* (R > 0); w1 = y .* R./abs(y);

Bayes判别matlab源程序2008年07月15日 星期二 22:11在分类判别中，bayes判别的确具有明显的优势，与模糊，灰色，物元可拓相比，判别准确率一般都会高些，而BP神经网络由于调试麻烦，在调试过程中需要人工参与，而且存在明显的问题，局部极小点和…

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