591 search results - page 63 / 119 » Learning and optimization using the clonal selection princip... |
131
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
One of central topics of kernel machines in the field of machine learning is a model selection, especially a selection of a kernel or its parameters. In our previous work, we dis...
137
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IDA
2009
Springer
15 years 10 months ago
2009
Springer
Markov Random Field (MRF) models with potentials learned from the data have recently received attention for learning the low-level structure of natural images. A MRF provides a pri...
122
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ICIAR
2004
Springer
15 years 9 months ago
2004
Springer
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
118
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ICPR
2002
IEEE
16 years 5 months ago
2002
IEEE
This paper presents a new architecture of neural networks designed for pattern recognition. The concept of induction graphs coupled with a divide-and-conquer strategy defines a Gr...
154
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...