Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Healthcare organizations exhibit both detailed and dynamic complexity. Effective and sustainable decisionmaking in healthcare requires tools that can comprehend this complexity. D...
We describe a system for automatically extracting dynamics of tongue gestures from ultrasound images of the tongue using translational deep belief networks (tDBNs). In tDBNs, a jo...
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
In this paper we present a novel use of an FPGA as a computing element for streaming based application. We investigate the virtualized execution of dynamic reconfigurable tasks. We...