Background: Several entropy-based methods have been developed for scoring sequence conservation in protein multiple sequence alignments. High scoring amino acid positions may corr...
This paper presents a performance analysis of marketbased batch schedulers for clusters of workstations. In contrast to previous work, we use user-centric performance metrics as t...
In this paper, we propose a framework for predicting the performance of a vision algorithm given the input image or video so as to maximize the algorithm's ability to provide...
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
Abstract-- This paper presents an adaptive technique for compensating manufacturing and environmental variability in subthreshold circuits using "canary flip-flop" that c...