The paper reports on a method for software risk assessments that takes into account “primary facts” and “secondary facts”. Primary facts are those obtained through automat...
Abstract. In the present work, we are interested in the practical behavior of a new fptas to solve the approximation version of the 0-1 multiobjective knapsack problem. Nevertheles...
Cristina Bazgan, Hadrien Hugot, Daniel Vanderpoote...
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
In recent years, various constrained frequent pattern mining problem formulations and associated algorithms have been developed that enable the user to specify various itemsetbase...
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have bec...