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1 - 10 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. UK Climate Change Act and actual Greenhouse Gas emissions

    https://mlg.eng.cam.ac.uk/carl/words/cca.html
    30 May 2024: For example, a reduction of 100 MtCO2e would be a very different objective in 2010 when emissions were >600 MtCO2e per year than in 2035 when emissions are (hopefully) <200 MtCO2e

  3. Zoubin Ghahramani

    https://mlg.eng.cam.ac.uk/zoubin/rgbn.html
    27 Jan 2023: trybars. runs the bars problem. It should display weights after 200 iterations (about 30 secs on our machine).

  4. preferential_fairness_nips_2017.pages

    https://mlg.eng.cam.ac.uk/adrian/preferential_fairness_nips_2017.pdf
    16 May 2024: 4. New notions of fairness. M (100). W (100)M (200) W (200). ... Benefit: 0% (M), 67% (W). M (100). W (100)M (200) W (200).

  5. 4F13 Probabilistic Machine Learning: Coursework #1: Gaussian…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1819/cw/coursework1.pdf
    19 Nov 2023: Why, why not? d) Generate 200 (essentially) noise free data points at x = linspace(-5,5,200)’; from a GP withthe following covariance function: {@covProd, {@covPeriodic, @covSEiso}}, with covariance hy-perparameters ... In order to apply the Cholesky

  6. ./cca08.eps

    https://mlg.eng.cam.ac.uk/carl/words/cca08.pdf
    23 May 2024: 1990 2000 2010 2020 2030 2040 2050. time, calendar years. 200.

  7. Who owns the atmosphere?

    https://mlg.eng.cam.ac.uk/carl/climate/eacc.html
    30 May 2024: In a world composed of 200 very different nations, simple transparent principles are required.

  8. 4F13 Probabilistic Machine Learning: Coursework #1: Gaussian…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1718/cw/coursework1.pdf
    19 Nov 2023: Why, why not? d) Generate 200 (essentially) noise free data points at x = linspace(-5,5,200)’; from a GP withthe following covariance function: {@covProd, {@covPeriodic, @covSEiso}}, with covariance hy-perparameters ... In order to apply the Cholesky

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

    https://mlg.eng.cam.ac.uk/zoubin/course04/lect6hier.pdf
    27 Jan 2023: a data point), cyc - cycles of learning (default = 200)% eta - learning rate (default = 0.2), Winit - initial weight%% W - unmixing matrix, Mu - data mean, LL - log likelihoods during learning. ... function [W, Mu, LL]=ica(X,cyc,eta,Winit);. if nargin<2,

  10. Assessing Approximations forGaussian Process Classification Malte…

    https://mlg.eng.cam.ac.uk/pub/pdf/KusRas06.pdf
    13 Feb 2023: Results are shown in Figure 2. 200. 200. 150. 150. 130. ... 130. 160. 160. 200. 200. (1a) (1b) (1c). 0.25. 0.25. 0.5.

  11. nips.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/WilRas96.pdf
    13 Feb 2023: The sampling procedure is runfor the desired amount of time, saving the values of the hyperparameters 200 timesduring the last two-thirds of the run. ... The predictive distribution is then a mixture of 200 Gaussians.For a squared error loss, we use the

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