We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
In this study, we strive to combine the advantages of fuzzy theory, genetic algorithms (GA), H tracking control schemes, smooth control and adaptive laws to design an adaptive fuzz...
Po-Chen Chen, Ken Yeh, Cheng-Wu Chen, Chen-Yuan Ch...
Model checking techniques have traditionally dealt with temporal logic languages and automata interpreted over -words, i.e., infinite in the future but finite in the past. However...
Matteo Pradella, Angelo Morzenti, Pierluigi San Pi...
We consider the following distributed optimization problem: three agents i = 1, 2, 3 are each presented with a load drawn independently from the same known prior distribution. Then...
The Mondex Electronic Purse system [18] is an outstanding example of formal refinement techniques applied to a genuine industrial scale application, and notably, was the first ve...
Richard Banach, Michael Poppleton, Czeslaw Jeske, ...