The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
The level of anonymity offered by low latency, interactive, anonymous networks is unknown. This paper implements correlation attacks on the deployed Tor network and a simulated T...
Distributed simulation techniques are commonly used to improve the speed and scalability of wireless sensor network simulators. However, accurate simulations of dynamic interactio...
We discuss the problem of path feasibility for programs manipulating strings using a collection of standard string library functions. We prove results on the complexity of this pro...
The objective of this work is to demonstrate that progressive haptic guidance can accelerate and improve motor task training outcomes over visual or practice-only methods in a tra...