代码搜索：classifier
找到约 4,824 项符合「classifier」的源代码
代码结果 4,824
www.eeworm.com/read/376881/2706634
m tune_ocr.m
% TUNE_OCR Tunes SVM classifier for OCR problem.
%
% Description:
% The following steps are performed:
% - Training set is created from data in directory ExamplesDir.
% - Multi-class SVM is
www.eeworm.com/read/373460/2761840
m bayescln.m
function [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
% BAYESCLN Bayes classifier for Gaussian distributiuon.
% [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
%
% This function classifies into the class according to the
%
www.eeworm.com/read/373460/2761844
m~ bayescln.m~
function [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
% BAYESCLN Bayes classifier for Gaussian distributiuon.
% [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
%
% This function classifies into the class according to the
%
www.eeworm.com/read/371708/2779006
m tune_ocr.m
% TUNE_OCR Tunes SVM classifier for OCR problem.
%
% Description:
% The following steps are performed:
% - Training set is created from data in directory ExamplesDir.
% - Multi-class SVM is
www.eeworm.com/read/261925/4319186
py tester.py
from spambayes.Options import options
try:
True, False
except NameError:
# Maintain compatibility with Python 2.2
True, False = 1, 0
class Test:
# Pass a classifier instance (an ins
www.eeworm.com/read/293183/8310968
m testd.m
%TESTD Classification error estimate
%
% [e,j,k,l] = testd(A,W,r,iter)
%
% Test of dataset A on the classifier defined by W. Returns:
% e - the fraction of A that is incorrectly classified by W.
%
www.eeworm.com/read/367442/9747836
m bayescln.m
function [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
% BAYESCLN Bayes classifier for Gaussian distributiuon.
% [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
%
% This function classifies into the class according to the
%
www.eeworm.com/read/367442/9747845
m~ bayescln.m~
function [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
% BAYESCLN Bayes classifier for Gaussian distributiuon.
% [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
%
% This function classifies into the class according to the
%
www.eeworm.com/read/170936/9779259
m demknn1.m
%DEMKNN1 Demonstrate nearest neighbour classifier.
%
% Description
% The problem consists of data in a two-dimensional space. The data is
% drawn from three spherical Gaussian distributions with prio
www.eeworm.com/read/415313/11076514
m demknn1.m
%DEMKNN1 Demonstrate nearest neighbour classifier.
%
% Description
% The problem consists of data in a two-dimensional space. The data is
% drawn from three spherical Gaussian distributions with prio