We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
— This dissertation presents an adaptive probing based tool for fault diagnosis in computer networks by addressing the problems of probe station selection and probe selection. We...
Business process modeling is an important phase during requirements collection. Usually functional, dynamic and role models are needed. We propose to integrate Role Activity Diagr...
Costin Badica, Maria Teodorescu, Cosmin Spahiu, Am...
Online approaches to physical design tuning have received considerable attention in the recent literature, with a focus on the problem of online index selection. However, it is dif...
In this paper, a genetic algorithm is introduced to generate variants of a choreographic sequence, which are then selected using different criteria. The mutation phase of the algo...