2487 search results - page 28 / 498 » Automatic Model Selection by Modelling the Distribution of R... |
PR
2007
14 years 9 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
104
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LREC
2010
14 years 11 months ago
2010
This paper presents a comparison of three computational approaches to selectional preferences: (i) an intuitive distributional approach that uses second-order co-occurrence of pre...
100
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TCBB
2010
14 years 8 months ago
2010
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
102
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PPSN
1994
Springer
15 years 1 months ago
1994
Springer
We discuss the use of normal distribution theory as a tool to model the convergence characteristics of di erent GA selection schemes. The models predict the proportion of optimal a...
ENGL
2007
14 years 9 months ago
2007
An uncertainty model for an expensive function greatly improves the effectiveness of a design decision based on the use of a less accurate function. In this paper, we propose a met...