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» Distributed Computing with Imperfect Randomness
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TCS
2011
13 years 5 months ago
Smart PAC-learners
The PAC-learning model is distribution-independent in the sense that the learner must reach a learning goal with a limited number of labeled random examples without any prior know...
Malte Darnstädt, Hans-Ulrich Simon
CONCUR
1997
Springer
14 years 2 months ago
Probabilistic Concurrent Constraint Programming
Abstract. We extend cc to allow the specification of a discrete probability distribution for random variables. We demonstrate the expressiveness of pcc by synthesizing combinators...
Vineet Gupta, Radha Jagadeesan, Vijay A. Saraswat
EUROPAR
2009
Springer
14 years 4 months ago
Adaptive Peer Sampling with Newscast
Abstract. The peer sampling service is a middleware service that provides random samples from a large decentralized network to support gossip-based applications such as multicast, ...
Norbert Tölgyesi, Márk Jelasity
ICPR
2008
IEEE
14 years 4 months ago
Directional entropy feature for human detection
In this paper we propose a novel feature, called directional entropy feature (DEF), to improve the performance of human detection under complicated background in images. DEF descr...
Long Meng, Liang Li, Shuqi Mei, Weiguo Wu
NETWORKS
2008
13 years 10 months ago
Reformulation and sampling to solve a stochastic network interdiction problem
The Network Interdiction Problem involves interrupting an adversary's ability to maximize flow through a capacitated network by destroying portions of the network. A budget c...
Udom Janjarassuk, Jeff Linderoth