代码搜索:Classify

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www.eeworm.com/read/298931/7922989

h bt-classify.h

/************************************************************************************************** *IBM Public License Version 1.0 * *THE ACCOMPANYING PROGRAM IS PROVIDED UNDER THE TERMS OF THIS IB
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cc bt-classify.cc

/************************************************************************************************** *IBM Public License Version 1.0 * *THE ACCOMPANYING PROGRAM IS PROVIDED UNDER THE TERMS OF THIS IBM
www.eeworm.com/read/298894/7927234

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
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cpp svm_classify.cpp

// Svm_classify.cpp: implementation of the CSvm_classify class. // ////////////////////////////////////////////////////////////////////// #include "stdafx.h" #include "svm.h" #include "svm_comm
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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/397106/8067652

m start_classify.m

% Main function for the GUI single-algorithm (main) screen % -------------------------------------------------------- % Modified 03/19/02 - Vittorio Castelli Npoints = 100; %Number of points on each
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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/397099/8069049

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
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c svm_classify.c

/***********************************************************************/ /* */ /* svm_classify.c
www.eeworm.com/read/333698/12664306

m classify_gmm.m

function classes = classify_GMM(X, mulist, sigmalist, weightlist); % 单捞磐 笼钦 X俊辑 阿 氦磐俊 措茄 海捞令狼 盒幅甫 荐青 % 捞 盒幅甫 烹窍咯 GMM葛胆捞 瘤沥窍绰 努贰胶 吝俊辑 窍唱肺 捞 氦磐甫 且寸 % % 涝仿 牢磊: % X: d*numpoints 单捞磐 青纺 % mulist :