370 search results - page 37 / 74 » Rule extraction from linear support vector machines |
132
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RECOMB
2004
Springer
16 years 4 months ago
2004
Springer
Finding recurring residue packing patterns, or spatial motifs, that characterize protein structural families is an important problem in bioinformatics. To this end, we apply a nov...
141
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SEMWEB
2010
Springer
15 years 2 months ago
2010
Springer
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
148
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PKDD
2009
Springer
15 years 10 months ago
2009
Springer
We explore an algorithm for training SVMs with Kernels that can represent the learned rule using arbitrary basis vectors, not just the support vectors (SVs) from the training set. ...
159
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FGR
2011
IEEE
14 years 8 months ago
2011
IEEE
— We propose a method for automatic emotion recognition as part of the FERA 2011 competition [1] . The system extracts pyramid of histogram of gradients (PHOG) and local phase qu...
139
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...