GAUSSIAN PROCESSES FOR MACHINE LEARNING
نویسندگان
چکیده
منابع مشابه
Gaussian Processes For Machine Learning
Gaussian processes (GPs) are natural generalisations of multivariate Gaussian random variables to infinite (countably or continuous) index sets. GPs have been applied in a large number of fields to a diverse range of ends, and very many deep theoretical analyses of various properties are available. This paper gives an introduction to Gaussian processes on a fairly elementary level with special ...
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ژورنال
عنوان ژورنال: International Journal of Neural Systems
سال: 2004
ISSN: 0129-0657,1793-6462
DOI: 10.1142/s0129065704001899