As opposed to traditional supervised learning, multiple-instance learning concerns the problem of classifying a bag of instances, given bags that are labeled by a teacher as being...
Goal-oriented methods have increasingly been recognised as an effective means for eliciting, elaborating, analysing and specifying software requirements. A key activity in these a...
Alessandra Russo, Dalal Alrajeh, Jeff Kramer, Seba...
The Biased Minimax Probability Machine (BMPM) constructs a classifier which deals with the imbalanced learning tasks. In this paper, we propose a Second Order Cone Programming (SO...
This paper is concerned with the problem of checking whether a given subset of an unsatisfiable Boolean CNF formula takes part in the basic causes of the inconsistency of . More ...
Peace is an extremely important value for humankind, yet it has been largely ignored by the computing and human-computer interaction community. This paper seeks to begin a discuss...