Gaussian Process And Compbined Kernel Supported Analyzing Hyper Supernatural Reflectivity
نویسندگان
چکیده
منابع مشابه
Sparse inverse kernel Gaussian Process regression
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. Gaussian Process regression is a popular technique for modeling the input-output relations of a set of variables under the assumption that the weight vector has a Gaussian prior. However, it is challenging to apply Gaussian Process regression to lar...
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ژورنال
عنوان ژورنال: International Journal of Advanced Multidisciplinary Scientific Research
سال: 2020
ISSN: 2581-4281
DOI: 10.31426/ijamsr.2019.2.8.1813