Statistical learning theory chiefly studies restricted hypothesis classes, particularly those with finite Vapnik-Chervonenkis (VC) dimension. The fundamental quantity of interest i...
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
In systems where customer service demands are only known probabilistically, there is very little to distinguish between jobs. Therefore, no universal optimum scheduling strategy o...
Sarah Tasneem, Lester Lipsky, Reda A. Ammar, Howar...
This study addresses the problem of k-connectivity of a wireless multihop network consisting of randomly placed nodes with a common transmission range, by utilizing empirical regr...
Process variations have become a critical issue in performance verification of high-performance designs. We present a new, statistical timing analysis method that accounts for int...