lazyBayesianRules lazyBayesianRules

Parent	oss-parent
Group	nz.ac.waikato.cms.weka
描述	Lazy Bayesian Rules Classifier. The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. Lazy Bayesian Rules selectively relaxes the independence assumption, achieving lower error rates over a range of learning tasks. LBR defers processing to classification time, making it a highly efficient and accurate classification algorithm when small numbers of objects are to be classified. For more information, see: Zijian Zheng, G. Webb (2000). Lazy Learning of Bayesian Rules. Machine Learning. 4(1):53-84.
Packaging	jar
Size	13.14 KB
文件	pom jar
网址	http://weka.sourceforge.net/doc.packages/lazyBayesianRules
发布时间	2012-04-26 12:46

dependencies

Group	Artifact	Version
nz.ac.waikato.cms.weka	weka-dev	[3.7.1,)
nz.ac.waikato.cms.weka	weka-dev	[3.7.1,)
junit	junit	3.8.2

developers

zhw

Zhihai Wang

licenses

GNU General Public License 3

http://www.gnu.org/licenses/gpl-3.0.txt