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147
Voted
PAMI
2010
15 years 2 months ago
2010
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
113
Voted
TSP
2010
14 years 10 months ago
2010
Developing computational models paves the way to understanding, predicting, and influencing the long-term behavior of genomic regulatory systems. However, several major challenges ...
129
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ICPR
2000
IEEE
16 years 4 months ago
2000
IEEE
We propose a new method for fitting mixture models that performs component selection and does not require external initialization. The novelty of our approach includes: a minimum ...
135
Voted
ESEM
2008
ACM
15 years 5 months ago
2008
ACM
To construct a better multivariate regression model for software effort estimation, this paper proposes a method to select projects as a fit data from a given project data set bas...
117
Voted
ML
2002
ACM
15 years 3 months ago
2002
ACM
Model selection is an important ingredient of many machine learning algorithms, in particular when the sample size in small, in order to strike the right trade-off between overfitt...