105 search results - page 9 / 21 » Invariant kernel functions for pattern analysis and machine ... |
127
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ISOLA
2010
Springer
14 years 10 months ago
2010
Springer
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
111
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TNN
2010
14 years 6 months ago
2010
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
COLT
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. The Gram matrix plays a central role in many kernel methods. Knowledge about the distribution of eigenvalues of the Gram matrix is useful for developing appropriate model...
GECCO
2007
Springer
15 years 5 months ago
2007
Springer
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
92
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SDM
2009
SIAM
15 years 8 months ago
2009
SIAM
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...