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21 - 30 of 223 search results for KaKaoTalk:vb20 200 |u:mlg.eng.cam.ac.uk where 0 match all words and 223 match some words.

  1. Results that match 1 of 2 words

  2. SMEM Algorithm for Mixture Models

    https://mlg.eng.cam.ac.uk/pub/pdf/UedNakGha98a.pdf
    13 Feb 2023: The data size was 200/class for training and 200/class for test.

  3. ibpnips4.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/ibp-nips05.pdf
    27 Jan 2023: 5. 10. K+. 0 100 200 300 400 500 600 700 800 900 10000. ... 2. 4. α. 0 100 200 300 400 500 600 700 800 900 10000.

  4. Adaptive Sequential Bayesian Change Point Detection Ryan…

    https://mlg.eng.cam.ac.uk/pub/pdf/TurSaaRas09.pdf
    13 Feb 2023: 50. 100. 150. 200. 250. 300. 350. 400. 450. Asia crisis, Dotcom bubbleDotcom bubble burst.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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

  10. 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.

  11. 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.

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