2190 search results - page 110 / 438 » Mixtures of Gaussian Processes |
165
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
123
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SDM
2009
SIAM
16 years 1 months ago
2009
SIAM
This paper is concerned with the task of travel-time prediction for an arbitrary origin-destination pair on a map. Unlike most of the existing studies, which focus only on a parti...
150
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IROS
2008
IEEE
15 years 11 months ago
2008
IEEE
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
111
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IDEAL
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
141
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...