4670 search results - page 71 / 934 » Testing that distributions are close |
CEC
2009
IEEE
15 years 4 months ago
2009
IEEE
—Univariate Marginal Distribution Algorithms (UMDAs) are a kind of Estimation of Distribution Algorithms (EDAs) which do not consider the dependencies among the variables. In thi...
ISSRE
2003
IEEE
15 years 3 months ago
2003
IEEE
Prior research has suggested that the failure rates of faults follow a log normal distribution. We propose a specific model where distributions close to a log normal arise natural...
93
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COMBINATORICS
2002
14 years 10 months ago
2002
We investigate the numbers dk of all (isomorphism classes of) distributive lattices with k elements, or, equivalently, of (unlabeled) posets with k antichains. Closely related and...
100
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DIS
2008
Springer
14 years 12 months ago
2008
Springer
We propose a well-founded method of ranking a pool of m trained classifiers by their suitability for the current input of n instances. It can be used when dynamically selecting a s...
120
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BIOINFORMATICS
2008
14 years 10 months ago
2008
Motivation: Finding a good network null model for protein-protein interaction (PPI) networks is a fundamental issue. Such a model would provide insights into the interplay between...