Abstract--In the past few years, the problem of distributed consensus has received a lot of attention, particularly in the framework of ad hoc sensor networks. Most methods propose...
This paper presents a continuous-time mathematical formulation for freshwater and wastewater minimisation in multipurpose batch plants with and without a central reusable water st...
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
Abstract— We explore network design principles for nextgeneration all-optical wide-area networks, employing light-trail technology. Light-trail [1] is a light-wave circuit that a...
Srivatsan Balasubramanian, Ahmed E. Kamal, Arun K....