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_