509 search results - page 52 / 102 » Using Learning for Approximation in Stochastic Processes |
139
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CISS
2011
IEEE
14 years 6 months ago
2011
IEEE
—The Coherent Approximation Principle (CAP) is a method for aggregating forecasts of probability from a group of judges by enforcing coherence with minimal adjustment. This paper...
123
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RSS
2007
15 years 3 months ago
2007
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...
102
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ICASSP
2010
IEEE
15 years 2 months ago
2010
IEEE
Subspace tracking methods are widespread in signal and image processing. To reduce the influence of perturbations or outliers on the measurements, some authors have used a stocha...
123
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ICML
2000
IEEE
16 years 3 months ago
2000
IEEE
This paper presents a general method to derive tight rates of convergence for numerical approximations in optimal control when we consider variable resolution grids. We study the ...
139
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IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...