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Scalable Inference for StructuredGaussian Process Models Yunus…
https://mlg.eng.cam.ac.uk/pub/pdf/Saa11.pdf13 Feb 2023: namely that if:. p. ([a. b. ])= N. ([µa. µb. ],. [Ka,a Ka,b. Kb,a Kb,b. ]), (1.17). then the means and covariances of marginals are simply the relevant subvectors ... and. submatrices of the joint mean and covariance respectively, i.e., p(a) = N(µa, Ka -
Efficient Reinforcement Learning using Gaussian Processes
https://mlg.eng.cam.ac.uk/pub/pdf/Dei10.pdf13 Feb 2023: Faculty of InformaticsInstitute for AnthropomaticsIntelligent Sensor-Actuator-Systems Laboratory (ISAS)Prof. Dr.-Ing. Uwe D. Hanebeck Sensor-Actuator-Systems. Intelligent. Efficient Reinforcement Learningusing Gaussian Processes. Marc Peter -
Bayesian Time Series Learning with Gaussian Processes Roger…
https://mlg.eng.cam.ac.uk/pub/pdf/Fri15.pdf13 Feb 2023: Bayesian Time Series Learning. with Gaussian Processes. Roger Frigola-AlcaldeDepartment of Engineering. St Edmund’s CollegeUniversity of Cambridge. August 2015. This dissertation is submitted for the degree ofDoctor of Philosophy. SUMMARY. The -
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https://mlg.eng.cam.ac.uk/zoubin/papers/ijprai.pdf27 Jan 2023: "# %$&' )(,-/.012)34,6578:9; #"<. =?>A@ BDCFEHGJI8KLIDM4KLNOKLEDCGPK:Q4R4BTSHU2>ANWVD@ QXK:QXCY>AE8KLZ?[]@ M4>AR_]CFED]baE CYQ. acEDCYdL]M4R_CYQSHU2>LZFZFeAPf%>AEDgD>LEf%>AEDg >AEihjUkl[nmLoprq8sEDeLZtKLEDg. u3vvTw<x4yy{zzz<|}Lv||! |8yL8)yD3) T} Lvl2
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