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ICML
2009
IEEE
15 years 10 months ago
Using fast weights to improve persistent contrastive divergence
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...
Tijmen Tieleman, Geoffrey E. Hinton
SAC
2009
ACM
15 years 10 months ago
Improving stream correlation attacks on anonymous networks
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...
Gavin O'Gorman, Stephen Blott
126
Voted
IPSN
2009
Springer
15 years 10 months ago
Improving the speed and scalability of distributed simulations of sensor networks
Distributed simulation techniques are commonly used to improve the speed and scalability of wireless sensor network simulators. However, accurate simulations of dynamic interactio...
Zhong-Yi Jin, Rajesh K. Gupta
TACAS
2009
Springer
136views Algorithms» more  TACAS 2009»
15 years 10 months ago
Path Feasibility Analysis for String-Manipulating Programs
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...
Nikolaj Bjørner, Nikolai Tillmann, Andrei V...
HAPTICS
2009
IEEE
15 years 10 months ago
Visual versus haptic progressive guidance for training in a virtual dynamic task
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...
Joel C. Huegel, Marcia Kilchenman O'Malley