1421 search results - page 24 / 285 » Resampling methods for input modeling |
116
Voted
IWANN
2009
Springer
15 years 9 months ago
2009
Springer
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
154
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WSC
1997
15 years 3 months ago
1997
The role of modeling and simulation is receiving much press of late. However, the lack of practice in employing a link between the two is alarming. A static model is used to under...
117
Voted
DATAMINE
2008
15 years 2 months ago
2008
Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...
132
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ACL
2006
15 years 3 months 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...
120
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CDC
2010
IEEE
14 years 9 months ago
2010
IEEE
The aim of this paper is to propose a robust and accurate method for the parametric identification of the thermal behaviour of low consumption buildings. These buildings are known ...