— A novel statistical learning algorithm is proposed to accurately analyze volume diagnosis results. This algorithm effectively overcomes the inherent ambiguities in logic diagno...
Huaxing Tang, Manish Sharma, Janusz Rajski, Martin...
This article introduces the Time Model subprofile of MARTE, a new OMG UML Profile dedicated to Modeling and Analysis of Real-Time and Embedded systems. After a brief presentatio...
—In this paper, we propose a new nonlinear classier based on a generalized Choquet integral with signed fuzzy measures to enhance the classification power by capturing all possib...
—Approaches based on conditional independence tests are among the most popular methods for learning graphical models from data. Due to the predominance of Bayesian networks in th...
Compositional Modelling (CM) has been applied to synthesize automatically plausible scenarios in many problem domains with promising results. However, it is assumed that the generi...