3467 search results - page 42 / 694 » Non-monotonic feature selection |
ISDA
2010
IEEE
13 years 6 months ago
2010
IEEE
Dimensionality reduction and feature selection in particular are known to be of a great help for making supervised learning more effective and efficient. Many different feature sel...
ICANN
2009
Springer
14 years 2 months ago
2009
Springer
This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...
DMIN
2007
13 years 9 months ago
2007
— The application of feature selection techniques greatly reduces the computational cost of classifying highdimensional data. Feature selection algorithms of varying performance ...
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
CVPR
1999
IEEE
14 years 10 months ago
1999
IEEE