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ICANN
2005
Springer
15 years 3 months ago
2005
Springer
Sparse regression is the problem of selecting a parsimonious subset of all available regressors for an efficient prediction of a target variable. We consider a general setting in w...
ICANN
2009
Springer
15 years 2 months ago
2009
Springer
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
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WSC
2007
15 years 4 days ago
2007
Simulation optimization (SO) is the process of finding the optimum design of a system whose performance measure(s) are estimated via simulation. We propose some ideas to improve o...
BMCBI
2010
14 years 10 months ago
2010
Background: The aim of this study was to provide a framework for the analysis of visceral obesity and its determinants in women, where complex inter-relationships are observed amo...
ICPADS
2006
IEEE
15 years 3 months ago
2006
IEEE
Maximum likelihood (ML) estimation is used during tomosynthesis mammography reconstruction. A single reconstruction involves the processing of highresolution projection images, wh...