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» Observational Learning in Random Networks
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106
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CCS
2005
ACM
15 years 6 months ago
A model and architecture for pseudo-random generation with applications to /dev/random
We present a formal model and a simple architecture for robust pseudorandom generation that ensures resilience in the face of an observer with partial knowledge/control of the gen...
Boaz Barak, Shai Halevi
118
Voted
CIDM
2009
IEEE
15 years 7 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...
77
Voted
GLOBECOM
2008
IEEE
15 years 7 months ago
Impact of Mobility on the Behavior of Interference in Cellular Wireless Networks
In this study, the impact of mobility is investigated in low-speed environments such as femtocells and picocells for wireless networks. Given that there is interference on the upl...
Serhan Yarkan, Amine Maaref, Koon Hoo Teo, Hü...
71
Voted
ICANN
2007
Springer
15 years 6 months ago
Solving Deep Memory POMDPs with Recurrent Policy Gradients
Abstract. This paper presents Recurrent Policy Gradients, a modelfree reinforcement learning (RL) method creating limited-memory stochastic policies for partially observable Markov...
Daan Wierstra, Alexander Förster, Jan Peters,...
110
Voted
AVSS
2005
IEEE
15 years 6 months ago
Look there! Predicting where to look for motion in an active camera network
A framework is proposed that answers the following question: if a moving object is observed by one camera in a pan-tilt-zoom (PTZ) camera network, what other camera(s) might be fo...
Ugur Murat Erdem, Stan Sclaroff