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/397122/8065842
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/245176/12813183
m fwd.m
function y = fwd(net,x)
% FWD
%
% Compute the output of a support vector classification network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, where each column represent
www.eeworm.com/read/331336/12832544
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/143706/12850361
m svm_classify.m
function status = svm_classify(options, data, model, predictions)
% SVM_CLASSIFY - Interface to SVM light, classification module
%
% STATUS = SVM_CLASSIFY(OPTIONS, DATA, MODEL, PREDICTIONS)
% C
www.eeworm.com/read/142729/12929561
m script_text.m
% script to classify text using ICA
% by Thomas Kolenda DTU,IMM 2000,2002 version 2
close all
clear all
format compact
% settings
ClassFrac=0; % Reject frac for classification
www.eeworm.com/read/140851/13059086
m demev2.m
%DEMEV2 Demonstrate Bayesian classification for the MLP.
%
% Description
% A synthetic two class two-dimensional dataset X is sampled from a
% mixture of four Gaussians. Each class is associated
www.eeworm.com/read/140850/13059504
m fwd.m
function y = fwd(net,x)
% FWD
%
% Compute the output of a support vector classification network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, where each column represent
www.eeworm.com/read/138798/13212137
m demev2.m
%DEMEV2 Demonstrate Bayesian classification for the MLP.
%
% Description
% A synthetic two class two-dimensional dataset X is sampled from a
% mixture of four Gaussians. Each class is associated
www.eeworm.com/read/324303/13273773
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/324303/13273903
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