代码搜索：classifiers
找到约 2,305 项符合「classifiers」的源代码
代码结果 2,305
www.eeworm.com/read/255755/12058262
m logdens.m
%LOGDENS Force density based classifiers to use log-densities
%
% V = LOGDENS(W)
% V = W*LOGDENS
%
% INPUT
% W Density based trained classifier
%
% OUTPUT
% V Log-density based tr
www.eeworm.com/read/255755/12058450
m prex_plotc.m
%PREX_PLOTC PRTools example on the dataset scatter and classifier plot
help prex_plotc
echo on
% Generate Higleyman data
A = gendath([100 100]);
% Split the data into the
www.eeworm.com/read/150905/12249646
m logdens.m
%LOGDENS Force density based classifiers to use log-densities
%
% V = LOGDENS(W)
% V = W*LOGDENS
%
% INPUT
% W Density based trained classifier
%
% OUTPUT
% V Log-density based tr
www.eeworm.com/read/150905/12249846
m prex_plotc.m
%PREX_PLOTC PRTools example on the dataset scatter and classifier plot
help prex_plotc
echo on
% Generate Higleyman data
A = gendath([100 100]);
% Split the data into the
www.eeworm.com/read/150761/12264597
m osusvmdemo.m
% ------- OSU SVM CLASSIFIER TOOLBOX Demonstrations---
%
% 1) Demonstrations of using C-SVM Classifers.
% 2) Demonstrations of using u-SVM Classifiers
% 3) Demonstration
www.eeworm.com/read/149739/12353901
m logdens.m
%LOGDENS Force density based classifiers to use log-densities
%
% V = LOGDENS(W)
% V = W*LOGDENS
%
% INPUT
% W Density based trained classifier
%
% OUTPUT
% V Log-density based tr
www.eeworm.com/read/149739/12354121
m prex_plotc.m
%PREX_PLOTC PRTools example on the dataset scatter and classifier plot
help prex_plotc
echo on
% Generate Higleyman data
A = gendath([100 100]);
% Split the data into the
www.eeworm.com/read/131815/14123367
m osusvmdemo.m
% ------- OSU SVM CLASSIFIER TOOLBOX Demonstrations---
%
% 1) Demonstrations of using C-SVM Classifers.
% 2) Demonstrations of using u-SVM Classifiers
% 3) Demonstration
www.eeworm.com/read/131780/14130028
java evalbayesian.java
import weka.classifiers.*;
import java.io.*;
import java.util.*;
import weka.classifiers.BayesianNaive;
import weka.classifiers.BayesianNetOrder;
import weka.classifiers.BayesianNetFixed;
impo
www.eeworm.com/read/130490/14190012
am makefile.am
CLEANFILES = *~
EXTRA_DIST = selectd.conf select_test.conf select_test.mail
#dist-hook:
# mkdir $(distdir)/plugins $(distdir)/share
# ln -s ../../classifiers/.libs/from.so $(distdir)/plugins
# ln -s