Organizations are adopting multiple best practices models to improve overall performance. Their objective is to capture the cumulative added value of each model into one single env...
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
The best-basis algorithm has gained much importance on textured-based image compression and denoising of signals. In this paper, an architecture for the wavelet-packet based best-...
We present an empirical comparison of the AUC performance of seven supervised learning methods: SVMs, neural nets, decision trees, k-nearest neighbor, bagged trees, boosted trees,...
This conceptual paper outlines best practice use cases and standards for learning delivery that are the result of a European-wide best practice case study survey within the EU-fun...