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An authentication library for Spring MVC back-end applications build on top of Spring Security framework and Spring Boot platform. It provides java annotations which selectively activate and configure authentication methods implemented by the library.

A thread-safe scheme to: - Make deep or shallow clones of objects. Based on either annotations or configuration - Allow for subsets of fields to selectively be copied / or not copied depending on runtime constraints - Optimizations for copying for GWT RPC

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.