代码搜索:classifier

找到约 4,824 项符合「classifier」的源代码

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www.eeworm.com/read/282250/9108618

cpp classifiers.cpp

//==== // Classifiers.cpp // - implements a few methods defined in Classifiers.hpp // Notes // - this package is for experiment and demo purposes only, // because it operates on full feature-documen
www.eeworm.com/read/183445/9158642

m bay_modoutclass.m

function [Pplus, Pmin, bay,model] = bay_modoutClass(model,X,priorpos,type,nb,bay) % Estimate the posterior class probabilities of a binary classifier using Bayesian inference % % >> [Ppos, Pneg] = bay
www.eeworm.com/read/183445/9158654

asv ls_svm2.asv

% 支持向量机最小二乘算法(LS-SVM)--可用于分类和回归??? % function [ output_args ] = SvmLs( input_args ) clc clear close all m = 4; % 样本维数 TrainSample = [1+rand(m,5),2+rand(m,5),3+rand(m,5),4+rand(m,5)]; TrainTa
www.eeworm.com/read/183445/9158705

m code.m

function [nsignals, codebook, oldcodebook, scheme] = code(signals,codetype,codetype_args,oldcodebook,fctdist,fctdist_args) % Encode and decode a multi-class classification task into multiple binary cl
www.eeworm.com/read/183445/9158783

asv code.asv

function [nsignals, codebook, oldcodebook, scheme] = code(signals,codetype,codetype_args,oldcodebook,fctdist,fctdist_args) % Encode and decode a multi-class classification task into multiple binary cl
www.eeworm.com/read/179898/9331875

h classify.h

/*-------------------------------------------------------------------------- @COPYRIGHT : Copyright 1997, Vasken Kollokian, McConnell Brain Imaging Centre,
www.eeworm.com/read/179071/9374811

tcl example.tcl

# # Copyright (c) 2001-2005 Paolo Losi (p.losi@hypersonic.it) # Alexander Sayenko (sayenko@cc.jyu.fi) # # All rights reserved # # This program is free software; you can redistr
www.eeworm.com/read/374698/9388836

m bay_modoutclass.m

function [Pplus, Pmin, bay,model] = bay_modoutClass(model,X,priorpos,type,nb,bay) % Estimate the posterior class probabilities of a binary classifier using Bayesian inference % % >> [Ppos, Pneg] = bay
www.eeworm.com/read/374698/9388841

asv ls_svm2.asv

% 支持向量机最小二乘算法(LS-SVM)--可用于分类和回归??? % function [ output_args ] = SvmLs( input_args ) clc clear close all m = 4; % 样本维数 TrainSample = [1+rand(m,5),2+rand(m,5),3+rand(m,5),4+rand(m,5)]; TrainTa
www.eeworm.com/read/374698/9388887

m code.m

function [nsignals, codebook, oldcodebook, scheme] = code(signals,codetype,codetype_args,oldcodebook,fctdist,fctdist_args) % Encode and decode a multi-class classification task into multiple binary cl