Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
The goal of my research is to understand speech input in a continuous manner by treating the input stream as fragmental utterances. This allows us to use various approaches to pre...
Abstract. Traditional workflow enactment systems and workflow design processes view the workflow as a one-time interaction with the various data sources, executing a series of step...
Panayiotis Neophytou, Panos K. Chrysanthis, Alexan...
Dynamic topological logics are combinations of topological and temporal modal logics that are used for reasoning about dynamical systems consisting of a topological space and a con...
Boris Konev, Roman Kontchakov, Frank Wolter, Micha...
Battery lifetime extension is a primary design objective for portable systems. This paper investigates how non-ideal properties of a battery impacts its lifespan. More specificall...
S. Castillo, Naveen K. Samala, K. Manwaring, Babac...