A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Abstract--Advances in very large-scale integration technology make clock skew more susceptible to process variations. Notwithstanding efficient exact zero-skew algorithms, clock sk...
Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable...
Abstract. Physical computational devices leak side-channel information that may, and often does, reveal secret internal states. We present a general transformation that compiles an...
Sebastian Faust, Tal Rabin, Leonid Reyzin, Eran Tr...
Knowledge discovery systems are constrained by three main limited resources: time, memory and sample size. Sample size is traditionally the dominant limitation, but in many present...