Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...
Wireless networks with multiple nodes that relay information from a source to a destination are expected to be deployed in many applications. In this work, we consider multihoppin...
Bama Muthuramalingam, Srikrishna Bhashyam, Andrew ...
Dynamic, unanticipated adaptation of running systems is of interest in a variety of situations, ranging from functional upgrades to on-the-fly debugging or monitoring of critical ...
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Abstract. The global quiescence of a distributed computation (or distributed termination detection) is an important problem. Some concurrent programming languages and systems provi...
Billy Yan-Kit Man, Hiu Ning (Angela) Chan, Andrew ...