2518 search results - page 279 / 504 » Machine learning in sedimentation modelling |
182
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
165
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
This paper presents a novel Gaussian process (GP) approach to regression with inputdependent noise rates. We follow Goldberg et al.'s approach and model the noise variance us...
154
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We introduce a mixture of probabilistic canonical correlation analyzers model for analyzing local correlations, or more generally mutual statistical dependencies, in cooccurring d...
163
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Moment matching is a popular means of parametric density estimation. We extend this technique to nonparametric estimation of mixture models. Our approach works by embedding distri...
163
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
When monitoring spatial phenomena, which are often modeled as Gaussian Processes (GPs), choosing sensor locations is a fundamental task. A common strategy is to place sensors at t...