代码搜索：Learning
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www.eeworm.com/read/196362/8097222
java teststringtoken.java
import java.util.StringTokenizer;
class TestStringToken {
public static void main(String[] args) {
//create a string and stringtokenizer
String s = "I/am\learning Java.";
StringToken
www.eeworm.com/read/246286/12742890
txt development.txt
This files contains some basic information about the development of the
Java Machine Learning API.
1. Future Milestones
====================
0.1.0 --> the library should have a set of validated
www.eeworm.com/read/143706/12849975
m somtrain.m
function net = somtrain(net, options, x)
%SOMTRAIN Kohonen training algorithm for SOM.
%
% Description
% NET = SOMTRAIN{NET, OPTIONS, X) uses Kohonen's algorithm to train a
% SOM. Both on-line and ba
www.eeworm.com/read/140851/13059345
m somtrain.m
function net = somtrain(net, options, x)
%SOMTRAIN Kohonen training algorithm for SOM.
%
% Description
% NET = SOMTRAIN{NET, OPTIONS, X) uses Kohonen's algorithm to train a
% SOM. Both on-line a
www.eeworm.com/read/138798/13212404
m somtrain.m
function net = somtrain(net, options, x)
%SOMTRAIN Kohonen training algorithm for SOM.
%
% Description
% NET = SOMTRAIN{NET, OPTIONS, X) uses Kohonen's algorithm to train a
% SOM. Both on-line a
www.eeworm.com/read/312163/13617625
m contents.m
% Optimization methods for STPRtoolbox.
%
% gmnp - Solves Generalized Minimal Norm (GMNP) problem.
% gnnls - Solves Generalized Non-negative Least Squares (GNNLS) problem.
% gnpp - S
www.eeworm.com/read/142648/5764128
readme
$Id: README,v 1.1 2000/04/07 01:11:16 apr Exp $
This is not an example but a TestBed for Europay
packager development/debugging. Please ignore it if you
are in the process of learning to use jPOS by
www.eeworm.com/read/489934/6463612
txt readme.txt
README
--------
Directory contains the following files.
1. ADABOOST_te.m
2. ADABOOST_tr.m
3. demo.m
4. likelihood2class.m
5. threshold_te.m
6. threshold_tr.m
The aim of the project is to provide
www.eeworm.com/read/485544/6552792
m somtrain.m
function net = somtrain(net, options, x)
%SOMTRAIN Kohonen training algorithm for SOM.
%
% Description
% NET = SOMTRAIN{NET, OPTIONS, X) uses Kohonen's algorithm to train a
% SOM. Both on-line and ba