boost
所属分类:人工智能/神经网络/深度学习
开发工具:Visual C++
文件大小:6KB
下载次数:21
上传日期:2009-05-23 16:43:15
上 传 者:
wuouwu
说明: boost算法,用于数据模式分析,其原理是机器学习里面的元学习器集成思想,通过弱分类器的集成来实现一个强分类器。
(for data pattern analysis.)
文件列表:
boost\adaboost\ADABOOST_te.m (2916, 2008-09-03)
boost\adaboost\ADABOOST_tr.m (4452, 2008-09-03)
boost\adaboost\demo.m (1849, 2008-09-03)
boost\adaboost\likelihood2class.m (812, 2008-09-03)
boost\adaboost\threshold_te.m (1467, 2008-09-03)
boost\adaboost\threshold_tr.m (2222, 2008-09-03)
boost\adaboost (0, 2008-09-03)
boost (0, 2009-05-16)
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 a source of the
meta-learning algorithm known as AdaBoost to improve
the performance of the user-defined classifiers.
To make use of adaboost, first two functions must be
run with the appropriate parameters. The explanation
of each source file is available with "help" command.
To see how they work, run demo.m as
>> demo
First three lines in demo.m specifies the training and
testing set size and the number of weak (threshold)
classifiers.
For bug reporting and for comments do not hesitate to
send e-mail to the author.
Cuneyt Mertayak
email: cuneyt.mertayak@gmail.com
version: 1.0
date: 03/09/2008
近期下载者:
相关文件:
收藏者: