We prove a version of the derandomized Direct Product lemma for deterministic space-bounded algorithms. Suppose a Boolean function g : {0, 1}n {0, 1} cannot be computed on more th...
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
As the d esig n-m anu factu ring interface becom es increasing ly com plicated with IC technolog y scaling , the correspond ing process variability poses g reat challeng es for na...
Yang Xu, Kan-Lin Hsiung, Xin Li, Ivan Nausieda, St...