28 search results - page 4 / 6 » A scalable two-stage approach for a class of dimensionality ... |
ENGL
2007
13 years 10 months ago
2007
— Most research in Knowledge Mining deal with the basic models like clustering, classification, regression, association rule mining and so on. In the process of quest for knowled...
ISDA
2010
IEEE
13 years 8 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...
TSMC
2008
13 years 9 months ago
2008
Abstract--Dimensionality reduction methods have been successfully employed for face recognition. Among the various dimensionality reduction algorithms, linear (Fisher) discriminant...
ICPR
2004
IEEE
14 years 11 months ago
2004
IEEE
We discuss the relationship between the discriminative training of Gaussian models and the maximum entropy framework for log-linear models. Observing that linear transforms leave ...
IWANN
2005
Springer
14 years 3 months ago
2005
Springer
In this work, we suggest a new feature selection technique that lets us use the wrapper approach for finding a well suited feature set for distinguishing experiment classes in hig...