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BMCBI
2008
160views more  BMCBI 2008»
13 years 8 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...
IPPS
2009
IEEE
14 years 3 months ago
Input-independent, scalable and fast string matching on the Cray XMT
String searching is at the core of many security and network applications like search engines, intrusion detection systems, virus scanners and spam filters. The growing size of o...
Oreste Villa, Daniel G. Chavarría-Miranda, ...
JMLR
2010
154views more  JMLR 2010»
13 years 3 months ago
Infinite Predictor Subspace Models for Multitask Learning
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
Piyush Rai, Hal Daumé III
ICPP
1999
IEEE
14 years 1 months ago
SLC: Symbolic Scheduling for Executing Parameterized Task Graphs on Multiprocessors
Task graph scheduling has been found effective in performance prediction and optimization of parallel applications. A number of static scheduling algorithms have been proposed for...
Michel Cosnard, Emmanuel Jeannot, Tao Yang
ISPA
2007
Springer
14 years 2 months ago
Grid and Distributed Public Computing Schemes for Structural Proteomics: A Short Overview
Grid and distributed public computing schemes has become an essential tool for many scientific fields including bioinformatics, computational biology and systems biology. The adopt...
Azhar Ali Shah, Daniel Barthel, Natalio Krasnogor