Robotics & Machine Learning Daily News2024,Issue(Aug.29) :61-62.

New Findings on Kernal Learning Described by Investigators at University of Cali fornia Irvine (Gp Plus : a Python Library for Kernelbased Learning Via Gaussian Processes)

Robotics & Machine Learning Daily News2024,Issue(Aug.29) :61-62.

New Findings on Kernal Learning Described by Investigators at University of Cali fornia Irvine (Gp Plus : a Python Library for Kernelbased Learning Via Gaussian Processes)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Kernal Learning is the subject of a report. According to news reportingfrom Irvine, California, by Ne wsRx journalists, research stated, “In this paper we introduce GP+, an open-sou rce library for kernel -based learning via Gaussian processes (GPs) which are po werful statisticalmodels that are completely characterized by their parametric covariance and mean functions. GP+ is builton PyTorch and provides a user-frien dly and object -oriented tool for probabilistic learning and inference.”

Key words

Irvine/California/United States/North and Central America/Kernal Learning/Emerging Technologies/Gaussian Processes/Kernel Based Learning/Machine Learning/University of California Irvine

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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