769 search results - page 16 / 154 » Bayesian Generalized Kernel Models |
PKDD
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
122
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TR
2010
14 years 6 months ago
2010
This paper investigates the use of a one-class support vector machine algorithm to detect the onset of system anomalies, and trend output classification probabilities, as a way to ...
109
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PCM
2004
Springer
15 years 5 months ago
2004
Springer
Kernel based methods have been of wide concern in the field of machine learning. This paper proposes a novel Gabor-Kernel Fisher analysis method (G-EKFM) for face recognition, whi...
113
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SSPR
2010
Springer
14 years 10 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
ICIP
1995
IEEE
16 years 1 months ago
1995
IEEE
A 3D super-resolution algorithm is proposed below, based on a probabilistic interpretation of the ndimensional version of Papoulis' generalized sampling theorem. The algorith...