In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
The aim of this paper is to show how abduction can be used in classification tasks when we deal with incomplete data. Some classifiers, even if based on decision tree induction lik...
Component-orientedprogramming(COP)isactuallyakeyresearchtrackinsoftwareengineering.Avarietyofcomponent-oriented s (COLs) have been proposed with new or adapted abstractions and me...
Abstract— In this paper, we present a novel universal approach which consists in exploring statistics in the compressed frequency domain. This approach is motivated by two main c...
Johann Barbier, Eric Filiol, Kichenakoumar Mayoura
Abstract-- Many statistical measures and algorithmic techniques have been proposed for studying residue coupling in protein families. Generally speaking, two residue positions are ...
John Thomas, Naren Ramakrishnan, Chris Bailey-Kell...