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» The Quantum Communication Complexity of Sampling
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ASPLOS
2012
ACM
12 years 1 months ago
Aikido: accelerating shared data dynamic analyses
Despite a burgeoning demand for parallel programs, the tools available to developers working on shared-memory multicore processors have lagged behind. One reason for this is the l...
Marek Olszewski, Qin Zhao, David Koh, Jason Ansel,...
FASE
2006
Springer
13 years 9 months ago
Regular Inference for State Machines with Parameters
Techniques for inferring a regular language, in the form of a finite automaton, from a sufficiently large sample of accepted and nonaccepted input words, have been employed to cons...
Therese Berg, Bengt Jonsson, Harald Raffelt
TWC
2008
85views more  TWC 2008»
13 years 5 months ago
Improved BDFE Using A Priori Information for Turbo Equalization
Abstract-- Turbo equalization improves communication system performance by iteratively exchanging information between soft-input soft-output (SISO) equalizer and SISO channel decod...
Jingxian Wu, Sang-Yick Leong, Kah-Ping Lee, Chengs...
MA
2010
Springer
172views Communications» more  MA 2010»
13 years 3 months ago
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Vivekananda Roy, James P. Hobert
GLOBECOM
2010
IEEE
13 years 3 months ago
Cognitive Network Inference through Bayesian Network Analysis
Cognitive networking deals with applying cognition to the entire network protocol stack for achieving stack-wide as well as network-wide performance goals, unlike cognitive radios ...
Giorgio Quer, Hemanth Meenakshisundaram, Tamma Bhe...