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Bayesian Learning forData-Efficient Control Rowan McAllister…
https://mlg.eng.cam.ac.uk/pub/pdf/Mca16.pdf13 Feb 2023: Bayesian Learning forData-Efficient Control. Rowan McAllister. Supervisor: Prof. C.E. Rasmussen. Advisor: Prof. Z. Ghahramani. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofDoctor of Philosophy. -
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https://mlg.eng.cam.ac.uk/zoubin/papers/nlds_preprint.pdf27 Jan 2023: åâjðnè<ö! #"$%&'(),.-/"#01/&-2'12-3.'#& 24#35'#& 6 -/0& 78))-29-.:;'<=#'>4#:;'#=#'@?ACB2EDFG4(3IH JKH$L MMNPORQQTSSSPUWV XM$Y2Z [U];URX]>UW_badc -/0-e0-4fg1/"#0-4C1/! -
Gaussian Processes forState Space Models andChange Point Detection…
https://mlg.eng.cam.ac.uk/pub/pdf/Tur11.pdf13 Feb 2023: Gaussian Processes forState Space Models andChange Point Detection. Ryan Darby Turner. Department of Engineering. University of Cambridge. A thesis submitted for the degree of. Doctor of Philosophy. July 17, 2011. b. Acknowledgements. I would like -
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 -
Efficient Reinforcement Learning using Gaussian Processes
https://mlg.eng.cam.ac.uk/pub/pdf/Dei10.pdf13 Feb 2023: 182.3.3 Input-Output Covariance. 232.3.4 Computational Complexity. 24. 2.4 Sparse Approximations using Inducing Inputs. ... Maximizing the evidence using equation (2.24) is a nonlinear, non-convex op-timization problem. -
Formally justified and modular Bayesian inference for probabilistic…
https://mlg.eng.cam.ac.uk/pub/pdf/Sci19.pdf13 Feb 2023: Formally justified and modular Bayesianinference for probabilistic programs. Adam Michał Ścibior. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofDoctor of Philosophy. Trinity College September -
thesis.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/Ras96b.pdf13 Feb 2023: EVALUATION OF GAUSSIAN PROCESSES AND. OTHER METHODS FOR NON-LINEAR REGRESSION. Carl Edward Rasmussen. A thesis submitted in conformity with the requirements. for the degree of Doctor of Philosophy,. Graduate Department of Computer Science,. in the -
Computation and Psychophysics ofSensorimotor IntegrationbyZoubin…
https://mlg.eng.cam.ac.uk/zoubin/papers/thesis.pdf27 Jan 2023: This algorithm is derived. 24 Chapter 1. Introductionfrom an information-theoretic principle which states that a common representationcan be obtained by maximizing the mutual information between the sensory modal-ities (Becker -
manual.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/RasNeaHinetal96.pdf13 Feb 2023: The DELVE ManualC. E. Rasmussen, R. M. Neal, G. E. Hinton, D. van Camp,M. Revow, Z. Ghahramani, R. Kustra, and R. TibshiraniVersion 1.1December 1996This manual describes the preliminary release of the DELVE environment. Somefeatures described here
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