209 search results - page 4 / 42 » Kernel design for RNA classification using Support Vector Ma... |
CSL
2006
Springer
13 years 7 months ago
2006
Springer
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
AAAI
2008
13 years 10 months ago
2008
This work addresses the problem of in-the-dark traffic classification for TCP sessions, an important problem in network management. An innovative use of support vector machines (S...
ALT
2001
Springer
14 years 4 months ago
2001
Springer
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
TITB
2008
13 years 7 months ago
2008
Nonlinear classifiers, e.g., support vector machines (SVMs) with radial basis function (RBF) kernels, have been used widely for automatic diagnosis of diseases because of their hig...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...