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Andrea RuglioniDeep kernel learning, the best of both worldsDeep Kernel Learning (DKL), or deep Gaussian process, combines deep neural networks with Gaussian Processes to model complex data patterns…Jul 17
Yuki ShizuyainThe Quantastic JournalMathematical understanding of Gaussian ProcessDetailed explanation of mathematical background of Gaussian process with necessary concepts and visualizationJun 243
Kaixin WanginData Science at MicrosoftIntroduction to Gaussian process regression, Part 1: The basicsGaussian process (GP) is a supervised learning method used to solve regression and probabilistic classification problems.¹ It has the term…Oct 4, 2022
Andrea RuglioniMulti-task Gaussian processesLearn how to model multiple correlated outputs using Gaussian processes, through the intrinsic model of coregionalization (ICM) and the…Jul 17
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