206 search results - page 27 / 42 » Boosting Kernel Models for Regression |
ML
2007
ACM
14 years 9 months ago
2007
ACM
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
SYNASC
2007
IEEE
15 years 4 months ago
2007
IEEE
In recent years several models have been proposed for text categorization. Within this, one of the widely applied models is the vector space model (VSM), where independence betwee...
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ISCI
2008
14 years 10 months ago
2008
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
GBRPR
2007
Springer
15 years 1 months ago
2007
Springer
We propose in this article an image classification technique based on kernel methods and graphs. Our work explores the possibility of applying marginalized kernels to image process...
IJCNN
2006
IEEE
15 years 4 months ago
2006
IEEE
— We consider the application of kernel canonical correlation analysis (K-CCA) to the supervised equalization of Wiener systems. Although a considerable amount of research has be...