We consider the problem of binary classification where the classifier may abstain instead of classifying each observation. The Bayes decision rule for this setup, known as Chow...
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshe...
We consider the problem of multiple kernel learning (MKL), which can be formulated as a convex-concave problem. In the past, two efficient methods, i.e., Semi-Infinite Linear Prog...
The right software architecture is critical to achieving essential quality attributes, but these qualities are only realized if the program as implemented conforms to its intended...
Abstract. Design defects are poor design choices resulting in a hard-tomaintain software, hence their detection and correction are key steps of a disciplined software process aimed...
Computer science educators have traditionally used algorithm visualization (AV) software to create graphical representations of algorithms that are later used as visual aids in lec...