683 search results - page 103 / 137 » Nonlinear functional regression: a functional RKHS approach |
142
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Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
DATE
2010
IEEE
15 years 2 months ago
2010
IEEE
— We discuss a fault diagnosis scheme for analog integrated circuits. Our approach is based on an assemblage of learning machines that are trained beforehand to guide us through ...
85
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GECCO
2010
Springer
15 years 1 months ago
2010
Springer
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
114
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IJCNN
2007
IEEE
15 years 4 months ago
2007
IEEE
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...