代码搜索：Classify
找到约 2,639 项符合「Classify」的源代码
代码结果 2,639
www.eeworm.com/read/441018/7677906
m u_clademo.m
echo off
% CLADEMO demonstration for using a contructed SVM classifier to classify
% input patterns
%
echo on;
%
%
% NOTICE: please first run any of the first three demonstrations before
%
www.eeworm.com/read/441018/7677916
m c_clademo.m
echo off
% CLADEMO demonstration for using a contructed SVM classifier to classify
% input patterns
echo on;
%
%
% NOTICE: please first run any of the first three demonstrations before
%
www.eeworm.com/read/399996/7817054
m marginalization.m
function [targets, P] = Marginalization(patterns, targets, params, plot_on)
% Classify data with missing features using the marginal distribution
%
% Inputs:
% patterns - Input patterns
% t
www.eeworm.com/read/399158/7885656
m u_clademo.m
echo off
% CLADEMO demonstration for using a contructed SVM classifier to classify
% input patterns
%
echo on;
%
%
% NOTICE: please first run any of the first three demonstrations before
%
www.eeworm.com/read/399158/7885700
m c_clademo.m
echo off
% CLADEMO demonstration for using a contructed SVM classifier to classify
% input patterns
echo on;
%
%
% NOTICE: please first run any of the first three demonstrations before
%
www.eeworm.com/read/397102/8067984
m classd.m
%CLASSD Classify data using a given classifier
%
% labels = classd(D)
%
% Finds the labels of the classified dataset D (typically the result
% of a mapping or classification A*W). For each object
www.eeworm.com/read/397099/8069055
m marginalization.m
function [targets, P] = Marginalization(patterns, targets, params, plot_on)
% Classify data with missing features using the marginal distribution
%
% Inputs:
% patterns - Input patterns
% t
www.eeworm.com/read/245941/12771172
m marginalization.m
function [targets, P] = Marginalization(patterns, targets, params, plot_on)
% Classify data with missing features using the marginal distribution
%
% Inputs:
% patterns - Input patterns
% t
www.eeworm.com/read/330850/12865164
m marginalization.m
function [targets, P] = Marginalization(patterns, targets, params, plot_on)
% Classify data with missing features using the marginal distribution
%
% Inputs:
% patterns - Input patterns
% t
www.eeworm.com/read/140853/13058125
m u_clademo.m
echo off
% CLADEMO demonstration for using a contructed SVM classifier to classify
% input patterns
%
echo on;
%
%
% NOTICE: please first run any of the first three demonstrations before
%