Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
Mark Last, Abraham Kandel, Oded Maimon, Eugene Ebe...
Deeply pipelined, superscalar processors require accurate branch prediction to achieve high performance. Two-level branch predictors have been shown to achieve high prediction acc...
Eric Sprangle, Robert S. Chappell, Mitch Alsup, Ya...
To scale to millions of Internet users with good performance, content delivery networks (CDNs) must balance requests between content servers while assigning clients to nearby serv...
Recently, a new iterative optimization framework utilizing an evolutionary algorithm called "Prototype Optimization with Evolved iMprovement Steps" (POEMS) was introduced...
Abstract. A key technique for protein analysis is the geometric alignment of 2D gel electrophoresis (2-DE) images. We introduce a new hybrid elastic registration approach for 2-DE ...