代码搜索:classification

找到约 3,679 项符合「classification」的源代码

代码结果 3,679
www.eeworm.com/read/137160/13342373

m fdsc.m

%FDSC Feature based Dissimilarity Space Classification % % W = FDSC(A,R,FEATMAP,TYPE,P,CLASSF) % W = A*FDSC([],R,FEATMAP,TYPE,P,CLASSF) % % INPUT % A Dateset used for training % R
www.eeworm.com/read/319942/13439046

m svcinfo.m

function svcinfo(trn,tst,ker,alpha,bias) %SVCINFO Support Vector Classification Results % % Usage: svcinfo(trn,tst,ker,alpha,bias) % % Parameters: trn - Training set % tst - Test
www.eeworm.com/read/317622/13500917

m multialgorithms_commands.m

function multialgorithms_commands(command) %This function processes events from the multi-algorithm GUI screen switch(command) case 'Init' Algorithms = read_algorithms('Classification.tx
www.eeworm.com/read/314653/13562575

m fdsc.m

%FDSC Feature based Dissimilarity Space Classification % % W = FDSC(A,R,FEATMAP,TYPE,P,CLASSF) % W = A*FDSC([],R,FEATMAP,TYPE,P,CLASSF) % % INPUT % A Dateset used for training % R
www.eeworm.com/read/302155/13840994

c kl.c

/* Weight-setting and scoring for Kuback-Leiber classification */ /* Copyright (C) 1997 Andrew McCallum Written by: Andrew Kachites McCallum This file is part of the Ba
www.eeworm.com/read/302155/13841038

c evi.c

/* Weight-setting and scoring for P(C|w) evidence classification */ /* Copyright (C) 1997 Andrew McCallum Written by: Andrew Kachites McCallum This file is part of the
www.eeworm.com/read/302155/13841042

c naivebayes.c

/* Weight-setting and scoring implementation for Naive-Bayes classification */ /* Copyright (C) 1997 Andrew McCallum Written by: Andrew Kachites McCallum This file is p
www.eeworm.com/read/301504/13858057

m svcinfo.m

function svcinfo(trn,tst,ker,alpha,bias) %SVCINFO Support Vector Classification Results % % Usage: svcinfo(trn,tst,ker,alpha,bias) % % Parameters: trn - Training set % tst - Test
www.eeworm.com/read/152843/5666144

c ipt_classify.c

/* * This is a module which is used for setting the skb->priority field * of an skb for qdisc classification. */ /* (C) 2001-2002 Patrick McHardy * * This program is free softw
www.eeworm.com/read/140847/5779147

m hmemenu.m

% dataset -> (1=>user data) or (2=>toy example) % type -> (1=> Regression model) or (2=>Classification model) % num_glevel -> number of hidden nodes in the net (gating levels) % num_