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  1. Results that match 2 of 3 words

  2. Bayesian Structured Prediction using Gaussian Processes Sébastien…

    https://mlg.eng.cam.ac.uk/pub/pdf/BraQuaGha14a.pdf
    13 Feb 2023: For each session, we use 10 videosto train a chain CRF or GPstruct and the rest as test data. ... f MAP scheme, thinning at1:1 000. middle: Effect of thinning, i.e.
  3. Princeton Papers

    https://www.cerf.cam.ac.uk/files/media/princeton_conference_info.pdf
    10 Jan 2023: 26 Prospect Avenue Princeton University. Princeton NJ 08540-5296. Participants:. Princeton Yacine Ait-Sahalia , Economics Dept. ... 2. Jianqing Fan (joint with Yacine Ait-Sahalia and Heng Peng): Nonparametric Transition-Based Tests for Diffusions
  4. Scalingin a Hierar chical Unsupervised Network 1 Zoubin Ghahramani,2…

    https://mlg.eng.cam.ac.uk/pub/pdf/GhaKorHin99a.pdf
    13 Feb 2023: b Sampleoutputsgeneratedbythemodelafter learning. a b c. Figure4: Generative weightsof a three-layeredRGBN after beingtrainedon thestereodisparityproblem.a Weightsfrom thetop layerhidden unit to the 24 middle-layerhidden units. ... Eachof the 24
  5. PILCO: A Model-Based and Data-Efficient Approach to Policy Search

    https://mlg.eng.cam.ac.uk/pub/pdf/DeiRas11.pdf
    13 Feb 2023: 3)–(5). Doing this properlyrequires mapping uncertain test inputs through theGP dynamics model. ... b) Histogram (after 1,000 test runs)of the distances of the flywheel frombeing upright.
  6. I Changed Astronomy Forever: A Film by Ben Proudfoot | Murray Edwards …

    https://www.murrayedwards.cam.ac.uk/news/i-changed-astronomy-forever-film-ben-proudfoot
    Thumbnail for I Changed Astronomy Forever: A Film by Ben Proudfoot | Murray Edwards College - University of Cambridge 31 Dec 2022: Honorary Fellow, Professor Dame Jocelyn Bell Burnell, is the subject of Ben Proudfoot's short film, I Changed Astronomy Forever.  He Won the Nobel Prize for it. Growing up in a Quaker househol
  7. Gaussian Process Change Point Models

    https://mlg.eng.cam.ac.uk/pub/pdf/SaaTurRas10.pdf
    13 Feb 2023: Weevaluated the models’ ability to predict next day snow-fall using 35 years of test data. ... Method Negative Log Likelihood p-value MSE p-valueNile Data (200 Training Points, 462 Test Points).
  8. Scalingin a Hierar chical Unsupervised Network 1 Zoubin Ghahramani,2…

    https://mlg.eng.cam.ac.uk/zoubin/papers/scaling.pdf
    27 Jan 2023: b Sampleoutputsgeneratedbythemodelafter learning. a b c. Figure4: Generative weightsof a three-layeredRGBN after beingtrainedon thestereodisparityproblem.a Weightsfrom thetop layerhidden unit to the 24 middle-layerhidden units. ... Eachof the 24
  9. PROPAGATION OF UNCERTAINTY IN BAYESIAN KERNEL MODELS— APPLICATION TO…

    https://mlg.eng.cam.ac.uk/pub/pdf/QuiGirLarRas03.pdf
    13 Feb 2023: Thiscorresponds to using the model in recall/test phase under uncer-tain input. ... which we draw 100 samples (dots under it).In the middle of the figure, the solid line represents the true under-lying function.
  10. Inferring a measure of physiological age frommultiple ageing related…

    https://mlg.eng.cam.ac.uk/pub/pdf/KnoParGlaWin11.pdf
    13 Feb 2023: Table 2: Hold out test. Values are log10(p) where p is the p-value for the Spearman rank correlationhypothesis test. ... The results are shown in Figure 2.2, where we are also able to include binary variables unlikefor the Spearman test.
  11. Hedge Fund Tail Risk� Tobias Adriany Federal Reserve Bank ...

    https://www.cerf.cam.ac.uk/files/media/tail_risk.pdf
    10 Jan 2023: tests" including a test for tail and VaR neutrality and nds that many so-called market. ... The tests for normality give the p-values of Royston's (1991) test that skewness / kurtosis are normal.

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