Software distributed shared memory (DSM) improves the programmability of message-passing machines and workclusters by providing a shared memory abstract (i.e., a coherent global a...
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
Background: The problem of protein structure prediction consists of predicting the functional or native structure of a protein given its linear sequence of amino acids. This probl...
Recently, we successfully developed and reported a new unsupervised online adaptation technique, which jointly compensates for additive and convolutive distortions with vector Tay...
Abstract—Dynamic ad hoc networks are mobile ad hoc networks (MANETs) where network characteristics, such as network density and node mobility, change significantly over time and...