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MA
2010
Springer
172views Communications» more  MA 2010»
13 years 6 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
EUROPAR
2010
Springer
13 years 5 months ago
Starsscheck: A Tool to Find Errors in Task-Based Parallel Programs
Star Superscalar is a task-based programming model. The programmer starts with an ordinary C program, and adds pragmas to mark functions as tasks, identifying their inputs and outp...
Paul M. Carpenter, Alex Ramírez, Eduard Ayg...
ICC
2009
IEEE
176views Communications» more  ICC 2009»
14 years 2 months ago
Error Resilient Non-Asymmetric Slepian-Wolf Coding
Abstract—We consider non-asymmetric distributed source coding (DSC) that achieves any point in the Slepian-Wolf (SW) region. We study the error propagation phenomena and propose ...
Cédric Herzet, Velotiaray Toto-Zarasoa, Ali...
CORR
2006
Springer
105views Education» more  CORR 2006»
13 years 7 months ago
Generalization error bounds in semi-supervised classification under the cluster assumption
We consider semi-supervised classification when part of the available data is unlabeled. These unlabeled data can be useful for the classification problem when we make an assumpti...
Philippe Rigollet
DAC
2011
ACM
12 years 7 months ago
DRAIN: distributed recovery architecture for inaccessible nodes in multi-core chips
As transistor dimensions continue to scale deep into the nanometer regime, silicon reliability is becoming a chief concern. At the same time, transistor counts are scaling up, ena...
Andrew DeOrio, Konstantinos Aisopos, Valeria Berta...