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The Jentity framework attempts to provide the Java platform with more powerful building blocks for integrating objects and components. The framework focuses on the challenge of maintaining consistent data or state in a dynamic environment. This is achieved by provide reusable, extensible objects, that can use to construct higher order structures like components, applications and systems. Examples of concrete problems that can be effectively solved by using the Jentity framework, are shared models, distributed models, MVC constructs.

DECORATE is a meta-learner for building diverse ensembles of classifiers by using specially constructed artificial training examples. Comprehensive experiments have demonstrated that this technique is consistently more accurate than the base classifier, Bagging and Random Forests. Decorate also obtains higher accuracy than Boosting on small training sets, and achieves comparable performance on larger training sets. For more details see: P. Melville, R. J. Mooney: Constructing Diverse Classifier Ensembles Using Artificial Training Examples. In: Eighteenth International Joint Conference on Artificial Intelligence, 505-510, 2003; P. Melville, R. J. Mooney (2004). Creating Diversity in Ensembles Using Artificial Data. Information Fusion: Special Issue on Diversity in Multiclassifier Systems.

J2EE integrated development framework,for the rapid build enterprise applications.Based on Struts,Spring,Hibernate constructed to provide Web systems development functions commonly used components. Simply configure can be solved the general problems in the process of developing encountered. For example,already has built in login interface,user and role management,base AOP paging,logging feature and a lot more. It's a Java package, a class library for Java programmers. It's not an application for end-users in itself, but something that programmers can embed into their products.