321 search results - page 30 / 65 » Stacked Gaussian Process Learning |
ICML
2004
IEEE
15 years 5 months ago
2004
IEEE
This paper describes an e cient method for learning the parameters of a Gaussian process (GP). The parameters are learned from multiple tasks which are assumed to have been drawn ...
ML
2002
ACM
14 years 11 months ago
2002
ACM
In this paper, we elaborate on the well-known relationship between Gaussian Processes (GP) and Support Vector Machines (SVM) under some convex assumptions for the loss functions. ...
113
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ALT
2006
Springer
15 years 8 months ago
2006
Springer
Abstract. Recently, some non-regular subclasses of context-free grammars have been found to be efficiently learnable from positive data. In order to use these efficient algorithms ...
ICRA
2007
IEEE
15 years 6 months ago
2007
IEEE
— The least squares approach works efficiently in value function approximation, given appropriate basis functions. Because of its smoothness, the Gaussian kernel is a popular an...
100
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ICIAP
1999
ACM
15 years 4 months ago
1999
ACM
In this work we propose a new supervised deformable model that generalizes the classical contour-based snake. This model is defined to deform in a feature space generated by a se...