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41 - 60 of 312 search results for KaKaoTalk:ZA31 24 24 |u:mlg.eng.cam.ac.uk where 0 match all words and 312 match some words.

  1. Results that match 1 of 2 words

  2. Gaussian Process

    https://mlg.eng.cam.ac.uk/teaching/4f13/1819/gaussian%20process.pdf
    19 Nov 2023: 64. 20. 24. 6. 6. 4. 2. 0. 2. 4. 6.

  3. - Machine Learning 4F13, Michaelmas 2015

    https://mlg.eng.cam.ac.uk/teaching/4f13/1516/lect0304.pdf
    19 Nov 2023: 1 0 1 22. 1. 0. 1. 2M=0. 1 0 1 24. ... 1. 2M=0. 1 0 1 24. 2. 0. 2. 4. M=1.

  4. ICML-Presentation

    https://mlg.eng.cam.ac.uk/zoubin/talks/ICML-Presentation.pdf
    27 Jan 2023: International Conference onMachine Learning. Corvallis, Oregon, June 20-24 2007. Summary Presentation:Statistics, Awards, Comments.

  5. - Machine Learning 4F13, Spring 2014

    https://mlg.eng.cam.ac.uk/teaching/4f13/1314/lect0304.pdf
    19 Nov 2023: 1. 0. 1. 2M=0. 1 0 1 24. 2. 0. 2. ... 1. 2M=0. 1 0 1 24. 2. 0. 2. 4. M=1.

  6. 3F3: Signal and Pattern Processing Lecture 1: Introduction to ...

    https://mlg.eng.cam.ac.uk/teaching/3f3/1011/lect1.pdf
    19 Nov 2023: Dataset Data dim. Sample size MLE Regression Corr. dim.Swiss roll 3 1000 2.1(0.02) 1.8(0.03) 2.0(0.24)Faces 64 64 698 4.3

  7. - Machine Learning 4F13, Spring 2015

    https://mlg.eng.cam.ac.uk/teaching/4f13/1415/lect0304.pdf
    19 Nov 2023: 1. 0. 1. 2M=0. 1 0 1 24. 2. 0. 2. ... 1. 2M=0. 1 0 1 24. 2. 0. 2. 4. M=1.

  8. Clamping Variables and Approximate Inference Adrian WellerColumbia…

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS14-clamp.pdf
    16 Jul 2024: Journal of Automated Reasoning, 24(1-2):225–275, 2000. N. Ruozzi. The Bethe partition function of log-supermodular graphical models.

  9. Unifying Orthogonal Monte Carlo Methods

    https://mlg.eng.cam.ac.uk/adrian/ICML2019-unified.pdf
    16 Jul 2024: E[x̃λỹλx̃λvỹλv x̃. 2λỹ. 2λv. ] (24)We next show the following. Lemma A.7.

  10. The Infinite Partially Observable Markov DecisionProcess Finale…

    https://mlg.eng.cam.ac.uk/pub/pdf/Dos09b.pdf
    13 Feb 2023: 24, pp. 195–220, 2005. [14] T. Smith and R. Simmons, “Heuristic search value iteration for POMDPs,” inProc. ... 24] J. H. Robert, R. St-aubin, A. Hu, and C. Boutilier, “SPUDD: Stochastic planning using decisiondiagrams,” inUAI, pp.

  11. Unsupervised Learning Lecture 6: Hierarchical and Nonlinear Models…

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect6hier.pdf
    27 Jan 2023: Annual Review of. Neuroscience, 24. Applications of ICA and Related Methods. •

  12. Uprooting and Rerooting Higher-Order GraphicalModels Mark…

    https://mlg.eng.cam.ac.uk/adrian/uprooting-higher-order.pdf
    16 Jul 2024: 4], which relates to generalized belief propagation,24) and MAP inference (using loopy belief propagation, LBP [9]). ... InArtificial Intelligence and Statistics (AISTATS), 2016. [24] J. Yedidia, W. Freeman, and Y.

  13. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1213/lect0304.pdf
    19 Nov 2023: 1. 2M=0. 1 0 1 24. 2. 0. 2. 4. M=1. ... p(x, y)dy = p(x):. wkp(w)dw =. wk(. p(wk, w/k)dw/k. )dwk =. wkp(wk)dwk. Rasmussen & Ghahramani (CUED) Lecture 3 and 4: Gaussian Processes 24 / 32.

  14. Computational structure of coordinatetransformations: A…

    https://mlg.eng.cam.ac.uk/zoubin/papers/coord.pdf
    27 Jan 2023: 24{1{24{45.Wiley{Interscience, New York.

  15. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect01.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 1: Introduction to Machine Learning 24 / 26.

  16. book

    https://mlg.eng.cam.ac.uk/pub/pdf/PerGhaPon07.pdf
    13 Feb 2023: 1.23). subject to:. wt φt(xn, ynt) wt φt(xn, yt) Mynt,yt ξnt n, t, yt (1.24). ... We end up having a significant reduction in the number ofconstraints2 in our optimisation formulation for CGMs in (1.23)-(1.24).

  17. Working Draft 1 Accountability of AI Under the Law: ...

    https://mlg.eng.cam.ac.uk/adrian/SSRN-id3064761-Dec19.pdf
    16 Jul 2024: 24. Furthermore, an explanation must also provide the correct type of information in order for it to be useful. ... 24 Wachter, Right to Explanation, supra note 18. For a discussion about legibility of algorithmic systems more broadly, see Gianclaudio

  18. chuesann.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/ChuGhaWil04b.pdf
    13 Feb 2023: H70.13% 70.77% 72.28% 71.70%. QobsE. 46.51% 24.69% 46.86% 23.96%Qobs. C73.29% 70.52% 72.64% 70.86%.

  19. paper.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/KimGha08.pdf
    13 Feb 2023: GPC log-ev -24.40.6 -41.80.8 -51.81.1 -60.21.0error(%) 3.700.36 4.900.77 7.500.88 8.151.42. robust log-ev ... MS-robust- log-ev -24.40.6 -41.00.7 -50.50.7 -58.60.8GPC error(%) 3.700.36 4.540.62 6.760.76 6.850.73.

  20. nips.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/Ras96.pdf
    13 Feb 2023: 0.2. 0.3. 0.4. 0.5. 0.6. House. 24 48 96 1920. 0.05.

  21. Marc P. Deisenroth, Carl E. Rasmussen, and Jan Peters: ...

    https://mlg.eng.cam.ac.uk/pub/pdf/DeiRasPet08.pdf
    13 Feb 2023: pages 19–24, Bruges, Belgium, April 2008. Model-Based Reinforcement Learning withContinuous States and Actions.

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