141 search results - page 1 / 29 » Unsupervised Classifier Selection Based on Two-Sample Test |
196
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DIS
2008
Springer
15 years 8 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...
160
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DAC
2008
ACM
16 years 7 months ago
2008
ACM
Extensive software-based simulation continues to be the mainstream methodology for functional verification of designs. To optimize the use of limited simulation resources, coverag...
183
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ICPR
2004
IEEE
16 years 7 months ago
2004
IEEE
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
200
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TNN
2010
15 years 1 months ago
2010
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
160
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SSPR
2000
Springer
15 years 10 months ago
2000
Springer
In the field of pattern recognition, the concept of Multiple Classifier Systems (MCSs) was proposed as a method for the development of high performance classification systems. At p...