Download JAR files tagged by defers with all dependencies

A simple Java framework for making applications singletons. The underlying mechanism uses interprocess communication to that at most one application process is active at a time. A new application invocation either displaces a previous invocation, or it defers to the previous and terminates itself.

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.