204 search results - page 24 / 41 » Entropy Numbers, Operators and Support Vector Kernels |
NECO
1998
14 years 9 months ago
1998
We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
105
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BMCBI
2007
14 years 9 months ago
2007
Background: Protein remote homology detection is a central problem in computational biology. Most recent methods train support vector machines to discriminate between related and ...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
100
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JMLR
2012
12 years 12 months ago
2012
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
DAGSTUHL
1993
14 years 10 months ago
1993
Currently, popular operating systems are unable to support the end-toend real-time requirements of distributed continuous media. Furthermore, the integration of continuous media c...