Download JAR files tagged by decorate with all dependencies

The utility to decorate Apache PLC4X API calls.

A library that helps to decorate TextView easily

Decorate logs with trace data for New Relic Logging.

Decorate logs with trace data for New Relic Logging.

Decorate logs with trace data for New Relic Logging.

Decorate logs with trace data for New Relic Logging.

Decorate logs with trace data for New Relic Logging.

Decorate logs with trace data for New Relic Logging.

A set of utilities for the use of decorators in a Java web application. The goal of this project is to offer an easy way to "decorate" data for presentation purposes. This is partially done by using concepts introduced by the Decorator Design Pattern.

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.