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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. 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.

  3. 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.

  4. Nested sampling for Potts models Iain MurrayGatsby Computational…

    https://mlg.eng.cam.ac.uk/zoubin/papers/nips05nested.pdf
    27 Jan 2023: This. 1e-120. 1e-100. 1e-80. 1e-60. 1e-40. 1e-20. 1. 0 200 400 600 800 1000 1200 1400 1600 1800 2000. ... 100. 200. 300. (b). 5 0 50. 50. 100. 150. 200.

  5. Message Passing Algorithms for Dirichlet Diffusion Trees

    https://mlg.eng.cam.ac.uk/pub/pdf/KnoGaeGha11.pdf
    13 Feb 2023: Macaque skull measurements (N = 200,D = 10).We the macaque skull measurement data of Adamset al. ... We calculate predictive log like-lihoods on four splits into 1800 training and 200 testgenes.

  6. 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.

  7. A New Approach to Data Driven Clustering Arik Azran ...

    https://mlg.eng.cam.ac.uk/zoubin/papers/AzrGhaICML06.pdf
    27 Jan 2023: 250. 300. 350. P340 ; K=10. 50 100 150 200 250 300 350. ... 50. 100. 150. 200. 250. 300. 350. P4.8e11 ; K=4. Figure 1.

  8. Analytic Moment-based Gaussian Process Filtering Marc Peter…

    https://mlg.eng.cam.ac.uk/pub/pdf/DeiHubHan09.pdf
    13 Feb 2023: We used 200 data points to trainGPf and GPg.We start 100 independent trajectories from the initialstate distribution x0 N. ( ... often yield inconsistent solutions af-ter 200 time steps, whereas the GP-ADF determinestight, but consistent distributions.

  9. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0708/lect10.pdf
    19 Nov 2023: 2 1.5 1 0.5 0 0.5 1 1.5 200.10.2. 0.3. 0.4.

  10. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect1011.pdf
    19 Nov 2023: 2 1.5 1 0.5 0 0.5 1 1.5 200.10.2. 0.3. 0.4.

  11. Time-Sensitive Dirichlet Process Mixture Models Xiaojin Zhu Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/papers/tdpmTR.pdf
    27 Jan 2023: We introduce aweight function w(t, j) which summarizes. 1. 5 0 5 10 15 200. ... 0.5. 1. 1.5. 2. t5 0 5 10 15 200. 0.5.

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