代码搜索：classification
找到约 3,679 项符合「classification」的源代码
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www.eeworm.com/read/130490/14190007
todo
Bugs and small fixes
~~~~~~~~~~~~~~~~~~~~
selectd:
- Fix folder names -> class bindings:
When adding new folders, they must never get the number of an unnamed class.
Add command: C> "get:folder:5\
www.eeworm.com/read/130490/14190102
xml introduction.xml
Introduction
Select is a tool for performing and evaluating email classification using supervised learning methods with in
www.eeworm.com/read/212314/15159947
m demobdk.m
function DemoBDK;
%
clear
close all
% make a copy of the parameter file
disp('copying demo-parameters for the Wine data set to SetParamsModel.m');
!copy SPMBDK.m SetParamsModel.m
% build a BDK
www.eeworm.com/read/209030/15228955
cla rule4reg.cla
classification
4 2
0
x trapezoid 0.0 2.3333 2.3333 4.6666
y trapezoid 0.0 2.3333 2.3333 4.6666
1
x trapezoid 0.0 2.3333 2.3333 4.6666
y trapezoid 2.3333 4.6666 4.6666 7.0
2
x trapezoid 2.3333 4.666
www.eeworm.com/read/471340/6890187
readme
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
www.eeworm.com/read/471381/6892019
m weakclassifybatch.m
function [error,Result]=WeakClassifyBatch(X,Y,H,W,WLearner)
% Same as WeakClassify but classifies an array of inputs X
% also finds the error of classification ,
% assumes correct classification is g
www.eeworm.com/read/295408/8166601
readme
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
www.eeworm.com/read/113670/15451502
cla rule4reg.cla
classification
4 2
0
x trapezoid 0.0 2.3333 2.3333 4.6666
y trapezoid 0.0 2.3333 2.3333 4.6666
1
x trapezoid 0.0 2.3333 2.3333 4.6666
y trapezoid 2.3333 4.6666 4.6666 7.0
2
x trapezoid 2.3333 4.666
www.eeworm.com/read/189194/8485870
cla rules3.cla
classification
3 2
0
x trapezoid 0.0 3.0 3.0 6.0
y trapezoid 0.0 3.0 3.0 6.0
1
x trapezoid 0.0 3.0 3.0 6.0
y trapezoid 1.0 4.0 4.0 7.0
2
x trapezoid 1.0 4.0 4.0 7.0
y trapezoid 1.0 4.0 4.0 7.0
www.eeworm.com/read/189194/8485932
cla rule4.cla
classification
4 2
0
x trapezoid 0.0 3.0 3.0 6.0
y trapezoid 0.0 3.0 3.0 6.0
1
x trapezoid 0.0 3.0 3.0 6.0
y trapezoid 1.0 4.0 4.0 7.0
2
x trapezoid 1.0 4.0 4.0 7.0
y trapezoid 1.0 4.0 4.0 7.0
3