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» Context-Sensitive Regression Analysis for Distributed Data
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ICS
2005
Tsinghua U.
14 years 25 days ago
Lightweight reference affinity analysis
Previous studies have shown that array regrouping and structure splitting significantly improve data locality. The most effective technique relies on profiling every access to eve...
Xipeng Shen, Yaoqing Gao, Chen Ding, Roch Archamba...
JMLR
2010
128views more  JMLR 2010»
13 years 5 months ago
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate
Bagging is a simple way to combine estimates in order to improve their performance. This method, suggested by Breiman in 1996, proceeds by resampling from the original data set, c...
Gérard Biau, Frédéric C&eacut...
PLDI
2004
ACM
14 years 23 days ago
Cloning-based context-sensitive pointer alias analysis using binary decision diagrams
This paper presents the first scalable context-sensitive, inclusionbased pointer alias analysis for Java programs. Our approach to context sensitivity is to create a clone of a m...
John Whaley, Monica S. Lam
CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
14 years 9 days ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
MA
2010
Springer
172views Communications» more  MA 2010»
13 years 5 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