1403 search results - page 21 / 281 » Sampling Techniques for Kernel Methods |
AAAI
2007
15 years 1 days ago
2007
We present a novel approach to recognizing Textual nt. Structural features are constructed from abstract tree descriptions, which are automatically extracted from syntactic depend...
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
NPL
2002
14 years 9 months ago
2002
Ridge regression is a classical statistical technique that attempts to address the bias-variance trade-off in the design of linear regression models. A reformulation of ridge regr...
ICIAR
2005
Springer
15 years 3 months ago
2005
Springer
A method for color indexing is proposed that is based upon nonparametric statistical techniques. Nonparametrics compare the ordinal rankings of sample populations, and maintain the...
131
click to vote
PAMI
2012
13 years 4 days ago
2012
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...