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/411674/11233785
m weaklearner.m
function model = weaklearner(data)
% WEAKLEARNER Produce classifier thresholding single feature.
%
% Synopsis:
% model = weaklearner(data)
%
% Description:
% This function produce a weak binary clas
www.eeworm.com/read/411674/11233788
m cerror.m
function error=cerror(y1,y2,label)
% CERROR Computes classification error.
%
% Synopsis:
% error = cerror(y1,y2)
% error = cerror(y1,y2,label)
%
% Description:
% error = cerror(y1,y2) returns clas
www.eeworm.com/read/411674/11233922
m linclass.m
function [y,dfce]=linclass( X, model)
% LINCLASS Linear classifier.
%
% Synopsis:
% [y,dfce] = linclass( X, model)
%
% Description:
% This function classifies input data X using linear
% discrimina
www.eeworm.com/read/300368/13917420
java hyperpipes.java
/*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either vers
www.eeworm.com/read/300368/13917533
java multiclassclassifier.java
/*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either vers
www.eeworm.com/read/237086/13978474
tcl cipinit.tcl
Node set Num_Handoff 0
Node set oldBS 0
set CIP_DATA 0
set CIP_PAGING 1
set CIP_PAGE 2
set CIP_ROUTE 3
set MH_OFF 0
set MH_IDLE
www.eeworm.com/read/415313/11076728
m wekaclassify.m
% WekaClassify: implementation for weka classification
%
% Parameters:
% para: parameters
% 1. MultiClassWrapper: use multi-class wrapper or not, default: -1
% (automatically detected)
% X_
www.eeworm.com/read/156663/11785860
pdf voiced-unvoiced-silence classifications of speech using hybrid features and a network classifier.pdf
www.eeworm.com/read/427909/8913167
extra entries.extra
/KLgauss.m////*///
/README.txt////*///
/beta_sample.m////*///
/chisquared_histo.m////*///
/chisquared_prob.m////*///
/chisquared_readme.txt////*///
/chisquared_table.m////*///
/clg_Mstep.m////*