We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
Abstract— The paper investigates theoretical issues in applying the universal swarming technique to efficient content distribution. In a swarming session, a file is distributed...
Given n fragments from k > 2 genomes, we will show how to find an optimal chain of colinear non-overlapping fragments in time O(n logk−2 n log log n) and space O(n logk−2 n...
In this paper, we propose a new approach for VLSI interconnect global routing that can optimize both congestion and delay, which are often competing objectives. Our approach provi...