2476 search results - page 358 / 496 » Model Selection and Error Estimation |
109
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TEC
2002
15 years 13 days ago
2002
It is not unusual that an approximate model is needed for fitness evaluation in evolutionary computation. In this case, the convergence properties of the evolutionary algorithm are...
114
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NIPS
2008
15 years 2 months ago
2008
Clustering stability is an increasingly popular family of methods for performing model selection in data clustering. The basic idea is that the chosen model should be stable under...
118
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CVIU
2004
15 years 19 days ago
2004
This paper describes a method to identify partially occluded shapes which are randomly oriented in 3D space. The goal is to match the object contour present in an image with an ob...
108
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JMLR
2010
14 years 7 months ago
2010
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
94
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SMA
1993
ACM
15 years 4 months ago
1993
ACM
: Parametric design is an important modeling paradigm in computer aided design. Relationships (constraints) between the degrees of freedom (DOFs) of the model, instead of the DOFs ...