Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
Standard financial techniques neglect extreme situations and regards large market shifts as too unlikely to matter. Such approach accounts for what occurs most of the time in the ...
Antoaneta Serguieva, John Hunter, Tatiana Kalganov...
(limit 250 words) Purpose This paper reports and describes the use of MediaWiki and Google Docs at undergraduate level as online collaboration tools for co-constructing knowledge i...
Bayesian subspace analysis (BSA) has been successfully applied in data mining and pattern recognition. However, due to the use of probabilistic measure of similarity, it often need...
Estimation of development effort without imposing overhead on the project and the development team is of paramount importance for any software company. This study proposes a new e...
Pekka Abrahamsson, Raimund Moser, Witold Pedrycz, ...