In order for a virtual environment to be effective as a training tool, it is not enough to concentrate on the fidelity of the renderings and the accuracy of the simulated behavior...
W. Lewis Johnson, Jeff Rickel, Randy Stiles, Allen...
Abstract--We present the STack ARchitecture (STAR) automaton. It is a fixed structure, multiaction, reward-penalty learning automaton, characterized by a star-shaped state transiti...
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
Guillaume Desjardins, Aaron C. Courville, Yoshua B...
Distributed applications must often consider and select the appropriate trade-offs among three important aspects ? fault-tolerance, performance and resources. We introduce a novel ...
—Current system-on-chip implementations integrate IP blocks from different vendors. Typical problems are incompatibility and integration overheads. This paper presents a case stu...
Antti Rasmus, Ari Kulmala, Erno Salminen, Timo D. ...