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/398705/2371281
m osusvmdemo.m
% ------- OSU SVM CLASSIFIER TOOLBOX Demonstrations---
%
% 1) Demonstrations of using C-SVM Classifers.
% 2) Demonstrations of using u-SVM Classifiers
% 3) Demonstration
www.eeworm.com/read/389028/2545440
tex classify_route.tex
%
% personal commentary:
% DRAFT DRAFT DRAFT
% - KFALL
%
\section{\shdr{Packet Fowarding}{classifier.h}{sec:classroute}}
Routing generally refers to the selection of a packet's path
thr
www.eeworm.com/read/380709/2653967
tex classify_route.tex
%
% personal commentary:
% DRAFT DRAFT DRAFT
% - KFALL
%
\section{\shdr{Packet Fowarding}{classifier.h}{sec:classroute}}
Routing generally refers to the selection of a packet's path
thr
www.eeworm.com/read/376881/2706632
m~ train_ocr.m~
% TRAIN_OCR Training of OCR classifier based on multiclass SVM.
%
% Description:
% The following steps are performed:
% - Training set is created from data in directory ExamplesDir.
% - Mult
www.eeworm.com/read/376881/2706635
m train_ocr.m
% TRAIN_OCR Training of OCR classifier based on multiclass SVM.
%
% Description:
% The following steps are performed:
% - Training set is created from data in directory ExamplesDir.
% - Mult
www.eeworm.com/read/376881/2706659
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/376881/2706662
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/373460/2761793
m osusvmdemo.m
% ------- OSU SVM CLASSIFIER TOOLBOX Demonstrations---
%
% 1) Demonstrations of using C-SVM Classifers.
% 2) Demonstrations of using u-SVM Classifiers
% 3) Demonstration
www.eeworm.com/read/371708/2779007
m train_ocr.m
% TRAIN_OCR Training of OCR classifier based on multiclass SVM.
%
% Description:
% The following steps are performed:
% - Training set is created from data in directory ExamplesDir.
% - Mult
www.eeworm.com/read/371708/2779023
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