1011 search results - page 17 / 203 » Feature Selection for Support Vector Machines |
CSDA
2007
13 years 7 months ago
2007
The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
AAAI
2006
13 years 9 months ago
2006
of somewhat abstracting away from the literal physiological measurements of articulation that are so closely tied to the acoustic signal, and with some additional computational bur...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
ICANN
2010
Springer
13 years 5 months ago
2010
Springer
We propose the so-called Support Feature Machine (SFM) as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separating hyperplan...
PR
2007
13 years 7 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...