Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
Marco Barreno, Blaine Nelson, Russell Sears, Antho...
Title of thesis: Energy-Efficient Cache Coherence for Embedded Multi-Processor Systems through Application-Driven Snoop Filtering Alokika Dash, Master of Science, 2006 Thesis dire...
In this paper we present Damon, a decentralized wide-area runtime aspect middleware built on top of a structured peer-topeer (p2p) substrate and a dynamic Aspect Oriented Programm...
In the realm of data mining, several key issues exists in the traditional classification algorithms, such as low readability, large rule number, and low accuracy with information ...
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...