"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
- In this paper, we present an algorithm for gate sizing with controlled displacement to improve the overall circuit timing. We use a path-based delay model to capture the timing c...
Abstract. Most classification methods assume that the samples are drawn independently and identically from an unknown data generating distribution, yet this assumption is violated ...
In a distributed computing system (DCS), we need to allocate a number of modules to different processors for execution. It is desired to maximize the processor synergism in order...
Matching regular expressions (regexps) is a very common workload. For example, tokenization, which consists of recognizing words or keywords in a character stream, appears in ever...