代码搜索：Classify
找到约 2,639 项符合「Classify」的源代码
代码结果 2,639
www.eeworm.com/read/362008/10024019
m rce.m
function test_targets = RCE(train_patterns, train_targets, test_patterns, lambda_m)
% Classify using the reduced coulomb energy algorithm
% Inputs:
% train_patterns - Train patterns
% train_tar
www.eeworm.com/read/357874/10199192
m rbf_network.m
function [test_targets, mu, Wo] = RBF_Network(train_patterns, train_targets, test_patterns, Nh)
% Classify using a radial basis function network algorithm
% Inputs:
% train_patterns - Train patt
www.eeworm.com/read/357874/10199194
m rce.m
function test_targets = RCE(train_patterns, train_targets, test_patterns, lambda_m)
% Classify using the reduced coulomb energy algorithm
% Inputs:
% train_patterns - Train patterns
% train_tar
www.eeworm.com/read/423580/10545426
m id3.m
function D = ID3(train_features, train_targets, params, region)
% Classify using Quinlan´s ID3 algorithm
% Inputs:
% features - Train features
% targets - Train targets
% params - [Nu
www.eeworm.com/read/274047/10889864
cpp wordsegment.cpp
#include "stdafx.h"
#include "WordSegment.h"
const unsigned int CWordSegment::cwsTag = 0x0001; // word classify tag
const unsigned int CWordSegment::cwsUserDict = 0x0002; // User defining dicti
www.eeworm.com/read/440431/7689452
m rce.m
function test_targets = RCE(train_patterns, train_targets, test_patterns, lambda_m)
% Classify using the reduced coulomb energy algorithm
% Inputs:
% train_patterns - Train patterns
% train_tar
www.eeworm.com/read/399996/7817048
m rce.m
function test_targets = RCE(train_patterns, train_targets, test_patterns, lambda_m)
% Classify using the reduced coulomb energy algorithm
% Inputs:
% train_patterns - Train patterns
% train_tar
www.eeworm.com/read/397099/8069051
m rce.m
function test_targets = RCE(train_patterns, train_targets, test_patterns, lambda_m)
% Classify using the reduced coulomb energy algorithm
% Inputs:
% train_patterns - Train patterns
% train_tar
www.eeworm.com/read/245941/12771164
m rce.m
function test_targets = RCE(train_patterns, train_targets, test_patterns, lambda_m)
% Classify using the reduced coulomb energy algorithm
% Inputs:
% train_patterns - Train patterns
% train_tar
www.eeworm.com/read/143954/12827634
cpp initialize.cpp
#include
#include
#include
#include
#include "initialize.h"
//#include "classify.h"
FeaturePtr **example;
FeaturePtr **sv;
double *lambda;
int *s