591 search results - page 22 / 119 » Learning and optimization using the clonal selection princip... |
107
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JMLR
2010
14 years 6 months ago
2010
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
ECAI
2004
Springer
15 years 5 months ago
2004
Springer
The purpose of this paper is to show that a well known machine learning technique based on Decision Trees can be effectively used to select the best approach (in terms of efficien...
ICML
2007
IEEE
16 years 18 days ago
2007
IEEE
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
102
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AAAI
2012
13 years 2 months ago
2012
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
114
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PAMI
2006
14 years 11 months ago
2006
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...