1176 search results - page 17 / 236 » Sparse reward processes |
NIPS
2000
15 years 1 months ago
2000
We develop an approach for a sparse representation for Gaussian Process (GP) models in order to overcome the limitations of GPs caused by large data sets. The method is based on a...
107
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NIPS
2008
15 years 1 months ago
2008
We present a sparse approximation approach for dependent output Gaussian processes (GP). Employing a latent function framework, we apply the convolution process formalism to estab...
105
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UAI
2008
15 years 1 months ago
2008
Much recent work has concerned sparse approximations to speed up the Gaussian process regression from the unfavorable O(n3 ) scaling in computational time to O(nm2 ). Thus far, wo...
105
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CISS
2008
IEEE
15 years 6 months ago
2008
IEEE
—Beyond signal processing applications, frames are also powerful tools for modeling the sensing and information processing of many biological and man-made systems that exhibit in...
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
Spectral factorization is a classical tool in signal processing and communications. It also plays a critical role in X-ray crystallography, in the context of phase retrieval. In t...