693 search results - page 126 / 139 » Estimation in covariate-adjusted regression |
108
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CCE
2007
14 years 11 months ago
2007
This paper presents a systematic approach based on robust statistical techniques for development of a data-driven soft sensor, which is an important component of the process analy...
BMCBI
2004
14 years 11 months ago
2004
Background: Microarray data normalization is an important step for obtaining data that are reliable and usable for subsequent analysis. One of the most commonly utilized normaliza...
126
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NIPS
2008
15 years 20 days ago
2008
Identification and comparison of nonlinear dynamical system models using noisy and sparse experimental data is a vital task in many fields, however current methods are computation...
106
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ACL
2006
15 years 19 days ago
2006
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
107
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GECCO
2008
Springer
15 years 9 days ago
2008
Springer
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...