While the emerging field of privacy preserving data mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are...
Jimmy Secretan, Anna Koufakou, Michael Georgiopoul...
We consider feature selection in the semi-supervised learning setting. This problem is rarely addressed in the literature. We propose a new algorithm as a natural extension of the...
This paper presents quantitative comparison of the performance of different methods for selecting the guide particle for multi-objective particle swarm optimization (MOPSO). Two p...
David Ireland, Andrew Lewis, Sanaz Mostaghim, Junw...
This paper presents an enhancement of our "Algorithm Architecture Adequation" (AAA) prototyping methodology which allows to rapidly develop and optimize the implementati...
This paperpresents new resultson anapproach for solvingsatisfiability problems (SAT), that is, creating a logic circuit that is specialized to solve each problem instance on Field ...