首页|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)
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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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.”
IrvineCaliforniaUnited StatesNorth and Central AmericaKernal LearningEmerging TechnologiesGaussian ProcessesKernel Based LearningMachine LearningUniversity of California Irvine
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