The eventual goal of a language model is to accurately predict the value of a missing word given its context. We present an approach to word prediction that is based on learning a...
Large highly distributed data sets are poorly supported by current query technologies. Applications such as endsystembased network management are characterized by data stored on l...
Dushyanth Narayanan, Austin Donnelly, Richard Mort...
The high demand for large scale storage capacity calls for the availability of massive storage solutions with high performance interconnects. Although cluster file systems are rap...
In this paper we develop a theoretical analysis of the performance of sampling-based fitted value iteration (FVI) to solve infinite state-space, discounted-reward Markovian decisi...
Mechanistic models for transcriptional regulation are derived using the methods of equilibrium statistical mechanics, to model equilibrating processes that occur at a fast time sc...