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TIT
2002
129views more  TIT 2002»
13 years 9 months ago
Arbitrary source models and Bayesian codebooks in rate-distortion theory
-- We characterize the best achievable performance of lossy compression algorithms operating on arbitrary random sources, and with respect to general distortion measures. Direct an...
Ioannis Kontoyiannis, Junshan Zhang
IAT
2006
IEEE
14 years 4 months ago
Using Prior Knowledge to Improve Distributed Hill Climbing
The Distributed Probabilistic Protocol (DPP) is a new, approximate algorithm for solving Distributed Constraint Satisfaction Problems (DCSPs) that exploits prior knowledge to impr...
Roger Mailler
SIGMETRICS
2005
ACM
14 years 3 months ago
On lifetime-based node failure and stochastic resilience of decentralized peer-to-peer networks
—To model P2P networks that are commonly faced with high rates of churn and random departure decisions by end-users, this paper investigates the resilience of random graphs to li...
Derek Leonard, Vivek Rai, Dmitri Loguinov
EUROCRYPT
2005
Springer
14 years 3 months ago
Predicting and Distinguishing Attacks on RC4 Keystream Generator
In this paper we analyze the statistical distribution of the keystream generator used by the stream ciphers RC4 and RC4A. Our first result is the discovery of statistical biases o...
Itsik Mantin
COLT
1992
Springer
14 years 2 months ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi