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CORR
2012
Springer
214views Education» more  CORR 2012»
13 years 5 months ago
Stochastic Low-Rank Kernel Learning for Regression
We present a novel approach to learn a kernelbased regression function. It is based on the use of conical combinations of data-based parameterized kernels and on a new stochastic ...
Pierre Machart, Thomas Peel, Liva Ralaivola, Sandr...
CISS
2008
IEEE
14 years 12 months ago
Portfolio diversification using subspace factorizations
Abstract-- Successful investment management relies on allocating assets so as to beat the stock market. Asset classes are affected by different market dynamics or latent trends. Th...
Ruairi de Frein, Konstantinos Drakakis, Scott Rick...
IEEEPACT
1998
IEEE
15 years 2 months ago
Static Methods in Hybrid Branch Prediction
Hybrid branch predictors combine the predictions of multiple single-level or two-level branch predictors. The prediction-combining hardware -- the "meta-predictor" -may ...
Dirk Grunwald, Donald C. Lindsay, Benjamin G. Zorn
ESANN
2008
14 years 11 months ago
A method for robust variable selection with significance assessment
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
BMCBI
2010
124views more  BMCBI 2010»
14 years 10 months ago
GPFrontend and GPGraphics: graphical analysis tools for genetic association studies
Background: Most software packages for whole genome association studies are non-graphical, purely text based programs originally designed to run with UNIX-like operating systems. ...
Steffen Uebe, Francesca Pasutto, Mandy Krumbiegel,...