204 search results - page 24 / 41 » Entropy Numbers, Operators and Support Vector Kernels |
NECO
1998
13 years 7 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...
BMCBI
2007
13 years 7 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
12 years 11 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...
JMLR
2012
11 years 10 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
13 years 9 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...