1403 search results - page 213 / 281 » Sampling Techniques for Kernel Methods |
CEC
2010
IEEE
14 years 11 months ago
2010
IEEE
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
104
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TNN
2010
14 years 4 months ago
2010
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
IACR
2011
13 years 9 months ago
2011
We give new methods for generating and using “strong trapdoors” in cryptographic lattices, which are simultaneously simple, efficient, easy to implement (even in parallel), a...
CVPR
2003
IEEE
15 years 12 months ago
2003
IEEE
In many applications of graphical models arising in computer vision, the hidden variables of interest are most naturally specified by continuous, non-Gaussian distributions. There...
76
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ICCV
2001
IEEE
15 years 11 months ago
2001
IEEE
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...