代码搜索：Classify
找到约 2,639 项符合「Classify」的源代码
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www.eeworm.com/read/490185/6460229
m fuzzy_classify.m
function [results] = fuzzy_classify(data,tcube,tol);
%returns ones where data lies within tcube
[N D] = size(data);
fdata = [data (1-data)];
tcube2 = ones(N,1)*tcube;
tmp1 = abs(min(tcube2, fdata
www.eeworm.com/read/486192/6537956
h classify_util.h
#ifndef CLASSIFY_UTIL_H
#define CLASSIFY_UTIL_H
/* Subroutine in eigen.c */
void eigen(
double **M, /* Input matrix */
double *lambda, /* Output eigenvalues */
int n /* Input mat
www.eeworm.com/read/486192/6537964
cpp classify_util.cpp
#include "clust_defs.h"
#include "alloc_util.h"
#include "classify_util.h"
void ClassLogLikelihood(
double *vector,
double *ll, /* log likelihood, ll[class] */
SigSet *S /* class si
www.eeworm.com/read/485265/6556958
m classify_packets.m
%%% parameters %%%
function [uoi_pkts] = classify_packets(LOG)
%events
SYNC_OK = 1;
SFD_OK = 3;
SFD_LATE = 7;
SFD_EARLY = 8;
SYNC_START = 0;
CHEST_DONE = 2;
MASK_LEN = 99;
%%% parse the lo
www.eeworm.com/read/410924/11264883
m start_classify.m
function [D, test_err, train_err] = start_classify(features, targets, error_method, redraws, percent, Preprocessing_algorithm, PreprocessingParameters, Classification_algorithm, AlgorithmParameters, r
www.eeworm.com/read/408453/11387765
cpp svm_classify.cpp
// Svm_classify.cpp: implementation of the CSvm_classify class.
//
//////////////////////////////////////////////////////////////////////
#include "stdafx.h"
#include "svmcls.h"
#include "svm_c
www.eeworm.com/read/408453/11387807
h svm_classify.h
// Svm_classify.h: interface for the CSvm_classify class.
//
//////////////////////////////////////////////////////////////////////
#if !defined(AFX_SVM_CLASSIFY_H__84FFE3EB_1A14_4CD2_918C_FD8E51
www.eeworm.com/read/405069/11472208
m start_classify.m
function [D, test_err, train_err, train_patterns, train_targets, reduced_patterns, reduced_targets] = start_classify(patterns, targets, error_method, redraws, percent, Preprocessing_algorithm, Preproc
www.eeworm.com/read/405069/11472302
m classify_paramteric.m
function targets = classify_paramteric(param_struct, patterns)
%Function for classifying patterns based on parametric distributions.
%Inputs are the paramters of the distributions and the patterns