代码搜索：classifier
找到约 4,824 项符合「classifier」的源代码
代码结果 4,824
www.eeworm.com/read/150760/12266160
m fld.m
function model = fld(data)
% FLD Fisher Linear Discriminat.
%
% Synopsis:
% model = fld(data)
%
% Description:
% This function computes the binary linear classifier based
% on the Fisher Linear Dis
www.eeworm.com/read/150760/12266164
m~ fld.m~
function model = fld(data)
% FLD Fisher Linear Discriminat.
%
% Synopsis:
% model = fld( data )
%
% Description:
% This function computes the binary linear classifier based
% on the Fisher Linear D
www.eeworm.com/read/149739/12352677
m prex_logdens.m
%PREX_LOGDENS PRTools example on density based classifier improvement
%
% This example shows the use and results of LOGDENS for improving
% the classification in the tail of the distributions
h
www.eeworm.com/read/131588/14136197
txt feature_selection.txt
Genetic_Culling@%groups, Out_dim, classifier, classifier params@[0.1,2,'LS',[]]@S
HDR@Out dimension@2@S
ICA@Out dimension, Convergence rate:@[2, 1e-30]@S
Koller@Out dimension@2@S
MDS@Method, Out
www.eeworm.com/read/130490/14189989
c trivial.c
/* Copyright (C) 2002 Mikael Ylikoski
* See the accompanying file "README" for the full copyright notice */
/**
* @file
* Trivial classifier.
* Classifies according to class frequency or by rando
www.eeworm.com/read/130490/14189991
c naivebayes.c
/* Copyright (C) 2001-2002 Mikael Ylikoski
* See the accompanying file "README" for the full copyright notice */
/**
* @file
* Naive Bayes learning algorithm.
*
* Should be used with tf vectoriz
www.eeworm.com/read/130490/14189992
c ngram.c
/* Copyright (C) 2001-2002 Mikael Ylikoski
* See the accompanying file "README" for the full copyright notice */
/**
* @file
* N-gram learning learning algorithm.
*
* Should be used with ngram t
www.eeworm.com/read/129915/14217629
txt feature_selection.txt
Genetic_Culling@%groups, Out_dim, classifier, classifier params@[0.1,2,'LS',[]]@S
HDR@Out dimension@2@S
ICA@Out dimension, Convergence rate:@[2, 1e-30]@S
Koller@Out dimension@2@S
MDS@Method, Out
www.eeworm.com/read/217792/14951328
m second_max.m
% For given array X, exports maximal elements by rows, their indeces,
% and ALSO second maximal elements along their indeces
% Will be judged for margin in NN classifier.
% [maxX,indeces,second_m