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11 - 20 of 20 search results for KA :PC53 24 |u:mlg.eng.cam.ac.uk where 0 match all words and 20 match some words.

  1. Results that match 2 of 3 words

  2. PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos

    https://mlg.eng.cam.ac.uk/pub/pdf/ParRasPetDoy18.pdf
    13 Feb 2023: We use a squared exponential covari-ance function ka(x̃, x̃′) = s2a exp((x̃x̃′)T Λ1a (x̃x̃′)),where sa and Λ = diag([la1, la2,. , ... 24. 26. 28. 30. Particle value estimateMoment matching value estimate. Distance in parameter space ( ). Val

  3. psb04.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/DubHwaRanetal04.pdf
    13 Feb 2023: HG beta. /?1& 5/, B1&0?; Q6=IRB.8+& 562+;,1&0K%/&0;-0&0,:U 8G&? <0O',.-<=5& ;(-<B.&,JB18G& ;L/ 24&?E6=IB. ... XÄXºÑ«_X_D ArHgÐ6Ñ rQ|O DOrÀ$_µD/76A;È»IJ7&K«_e¿OXD«_ª8-A;ÃjrrªÉ_µ 5 " )OÃjrrª9Dj_ÎÉ»«_Ç;ª|D@j¿DÀ

  4. � � � � � ����� ��� ���� ��� ...

    https://mlg.eng.cam.ac.uk/zoubin/papers/nlds_preprint.pdf
    27 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/!

  5. http://ijr.sagepub.com/Robotics Research The International Journal of …

    https://mlg.eng.cam.ac.uk/pub/pdf/BouAllKre04a.pdf
    13 Feb 2023: ξt (I At )ξt1 ̂t At µt1 Sx δt. (24)Hence, under this approximation the random variableξt isagain Gaussian distributed. ... Its mean is obtained by replacingξt andδt in eq. (24) by their respective means:.

  6. http://ijr.sagepub.com/Robotics Research The International Journal of …

    https://mlg.eng.cam.ac.uk/pub/pdf/ThrLiuKol04a.pdf
    13 Feb 2023: ξt (I At )ξt1 ̂t At µt1 Sx δt. (24)Hence, under this approximation the random variableξt isagain Gaussian distributed. ... Its mean is obtained by replacingξt andδt in eq. (24) by their respective means:.

  7. Scalable Inference for StructuredGaussian Process Models Yunus…

    https://mlg.eng.cam.ac.uk/pub/pdf/Saa11.pdf
    13 Feb 2023: and. submatrices of the joint mean and covariance respectively, i.e., p(a) = N(µa, Ka,a)and p(b) = N(µb, Kb,b). ... 1.24). Note that the posterior over f is also an N-dimensional Gaussian as it is also con-.

  8. Gaussian Processes forState Space Models andChange Point Detection…

    https://mlg.eng.cam.ac.uk/pub/pdf/Tur11.pdf
    13 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

  9. Efficient Reinforcement Learning using Gaussian Processes

    https://mlg.eng.cam.ac.uk/pub/pdf/Dei10.pdf
    13 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.

  10. psb04.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/DubHwaRan04a.pdf
    13 Feb 2023: HG beta. /?1& 5/, B1&0?; Q6=IRB.8+& 562+;,1&0K%/&0;-0&0,:U 8G&? <0O',.-<=5& ;(-<B.&,JB18G& ;L/ 24&?E6=IB. ... XÄXºÑ«_X_D ArHgÐ6Ñ rQ|O DOrÀ$_µD/76A;È»IJ7&K«_e¿OXD«_ª8-A;ÃjrrªÉ_µ 5 " )OÃjrrª9Dj_ÎÉ»«_Ç;ª|D@j¿DÀ

  11. Bayesian Time Series Learning with Gaussian Processes Roger…

    https://mlg.eng.cam.ac.uk/pub/pdf/Fri15.pdf
    13 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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