Abstract. As process technology scales down, power wall starts to hinder improvements in processor performance. Performance optimization has to proceed under a power constraint. Th...
Much work has been done in the area of qualitative spatial reasoning over the past years, with application in various domains. However, existing models only capture particular asp...
Confidence-weighted (CW) learning [6], an online learning method for linear classifiers, maintains a Gaussian distributions over weight vectors, with a covariance matrix that repr...
Most models of decision-making in neuroscience assume an infinite horizon, which yields an optimal solution that integrates evidence up to a fixed decision threshold; however, u...
Integer Linear Programming has recently been used for decoding in a number of probabilistic models in order to enforce global constraints. However, in certain applications, such a...