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21 - 30 of 204 search results for KaKaoTalk:vb20 200 |u:mlg.eng.cam.ac.uk where 0 match all words and 204 match some words.

  1. Results that match 1 of 2 words

  2. Graph-based Semi-supervised Learning Zoubin Ghahramani Department of…

    https://mlg.eng.cam.ac.uk/zoubin/talks/lect3ssl.pdf
    27 Jan 2023: 2” (|LU| = 2200). 5 10 15 200.5. 0.6. 0.7. 0.8. ... 200-209.• Lawrence, N. D., & Jordan, M. I. (2005). Semi-supervised learning via Gaussian processes.

  3. Infinite Sparse Factor Analysis and InfiniteIndependent Components…

    https://mlg.eng.cam.ac.uk/zoubin/papers/ica07knowles.pdf
    27 Jan 2023: generated data with D = 7, K =6, N = 200, the Z matrix shown in Figure 1(a), and Gaussian or Laplaciansource distributions.

  4. Factored Contextual Policy Search with Bayesian Optimization Robert…

    https://mlg.eng.cam.ac.uk/pub/pdf/PinKarKupetal19.pdf
    13 Feb 2023: If. 0 100 200 300 400 500episode. 0.20. 0.15. 0.10. 0.05. ... We compare FACESto ACES, and use 200 representer points to approximate theacquisition functions.

  5. On the Convergence of Bound Optimization Algorithms Ruslan…

    https://mlg.eng.cam.ac.uk/pub/pdf/SalRowGha03a.pdf
    13 Feb 2023: 0 100 200 300 400 500 600. 0.06. 0.04. 0.02. 0. ... EM: Hidden Markov Models. 0 100 200 300 400 500 600 700 800 900 10004.

  6. chu05a.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/ChuGha05a.pdf
    13 Feb 2023: Training data size. with Mean Imputation. 50 100 150 200 250 3000.6. ... 1032. GAUSSIAN PROCESSES FORORDINAL REGRESSION. 1 3 5 10 40 200 1000 126000.

  7. PROPAGATION OF UNCERTAINTY IN BAYESIAN KERNEL MODELS— APPLICATION TO…

    https://mlg.eng.cam.ac.uk/pub/pdf/QuiGirLarRas03.pdf
    13 Feb 2023: Averages over 200 repetitions. [5] I.J. Leontaritis and S.A. Billings, “Input-output parametricmodels for non-linear systems, part 1: Deterministic non-linear systems, part 2: Stochastic non-linear

  8. Learning Multiple Related Tasks using LatentIndependent Component…

    https://mlg.eng.cam.ac.uk/zoubin/papers/zgy-nips05.pdf
    27 Jan 2023: 50 100 200 5000.3. 0.35. 0.4. 0.45. 0.5. 0.55. 0.6. 0.65. ... 100 200 500 10000.1. 0.2. 0.3. 0.4. 0.5. 0.6. Training Set Size.

  9. chu05a.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/chu05a.pdf
    27 Jan 2023: Training data size. with Mean Imputation. 50 100 150 200 250 3000.6. ... 1032. GAUSSIAN PROCESSES FORORDINAL REGRESSION. 1 3 5 10 40 200 1000 126000.

  10. Variational Inference for BayesianMixtures of Factor Analysers Zoubin …

    https://mlg.eng.cam.ac.uk/zoubin/papers/nips99.pdf
    27 Jan 2023: and the algorithm always found between12-14 Gaussians regardless of whether it was initialised with 0 or 200.

  11. Variational Inferen e for BayesianMixtures of Fa tor AnalysersZoubin…

    https://mlg.eng.cam.ac.uk/pub/pdf/GhaBea99a.pdf
    13 Feb 2023: pose a problem and the algorithm always found between12-14 Gaussians regardless of whether it was initialised with 0 or 200.

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