A new chip-set for video display processing in a consumer television or set-top box is presented. Key aspect of the chip-set is a high flexibility and programmability of multi-win...
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
We take a dual view of Markov processes ? advocated by Kozen ? as transformers of bounded measurable functions. We redevelop the theory of labelled Markov processes from this view ...
Philippe Chaput, Vincent Danos, Prakash Panangaden...
—This paper suggests a new approach for bitstream processing of embedded systems, using a combination of C++ metaprogramming combined with architecture extensions of an customiza...