Sparse On-Line Gaussian Processes
نویسندگان
چکیده
منابع مشابه
Sparse On-Line Gaussian Processes
We develop an approach for sparse representations of gaussian process (GP) models (which are Bayesian types of kernel machines) in order to overcome their limitations for large data sets. The method is based on a combination of a Bayesian on-line algorithm, together with a sequential construction of a relevant subsample of the data that fully specifies the prediction of the GP model. By using a...
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ژورنال
عنوان ژورنال: Neural Computation
سال: 2002
ISSN: 0899-7667,1530-888X
DOI: 10.1162/089976602317250933