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101 - 120 of 261 search results for katalk:za31 24 / / / / / |u:mlg.eng.cam.ac.uk where 0 match all words and 261 match some words.

  1. Results that match 1 of 2 words

  2. gppl.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/icml05chuwei-pl.pdf
    27 Jan 2023: f MAPa = Σaβa (24). where βa =. ni=1. gij=1 ln Φ(z. ... de-fined as in (24) at θ.

  3. Bayesian correlated clustering to integrate multiple datasetsPaul…

    https://mlg.eng.cam.ac.uk/pub/pdf/KirGriSavGhaetal12.pdf
    13 Feb 2023: Expression 7.66 1.15 9.48 551ChIPPPI 27.04 3.47 18.99 31. ChIPExpression 24.46 2.93 16.87 48PPIExpression 26.04 3.69 22.35 32.

  4. aistats2007-ibpsb.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/TehGorGha07.pdf
    27 Jan 2023: Givens, the distribution ofZ becomes:. p(Z|x, s, µ(1:)) p(Z|x, µ(1:))1. µI(0sµ) (24).

  5. Bayesian Structured Prediction using Gaussian Processes Sébastien…

    https://mlg.eng.cam.ac.uk/pub/pdf/BraQuaGha14a.pdf
    13 Feb 2023: all 20 sessions, the error rates were 52.12 11.73 for the CRF, 51.91 11.02for GPstruct linear kernel, and 50.42 11.24 for GPstruct SE kernel.

  6. TCS November 2001, 2nd pages.qxd

    https://mlg.eng.cam.ac.uk/zoubin/papers/WolGhaFla01.pdf
    27 Jan 2023: J. Math. Biol. 15,267–273. 24 Linsker, R. (1986) From basic network principles toneural architecture: emergence of spatial-opponentcells.

  7. ency02.dvi

    https://mlg.eng.cam.ac.uk/zoubin/course04/hbtnn2e-III.pdf
    27 Jan 2023: 5 454 9 44 5 312 14 47 8 216 20 35 13 96 28 24.

  8. ency02.dvi

    https://mlg.eng.cam.ac.uk/zoubin/course03/hbtnn2e-III.pdf
    27 Jan 2023: 5 454 9 44 5 312 14 47 8 216 20 35 13 96 28 24.

  9. Probabilistic inference in graphical models Michael I.…

    https://mlg.eng.cam.ac.uk/zoubin/course03/hbtnn2e-I.pdf
    27 Jan 2023: links, see the articles in Jordan (1999). Jordan and Weiss: Probabilistic inference in graphical models 24.

  10. Bayesian Gaussian Process Classificationwith the EM-EP…

    https://mlg.eng.cam.ac.uk/pub/pdf/KimGha06a.pdf
    13 Feb 2023: Itsgeneralized version which is convergent but slower hasbeen proposed [24]. 3.2 EP for Gaussian Process Classification. ... 00 0. CfJ. 24. 35; ð37Þ. where Cfj is a covariance matrix of latent values related to.

  11. btc654.tex

    https://mlg.eng.cam.ac.uk/pub/pdf/RavGhaWil02a.pdf
    13 Feb 2023: 0 226 0 98 310 0 14 322 0 214 24 0 1 23 0 2 4 0 21 16 0 9 24 0 115 205 51 20 265 0 11 ... 0 36 20 0 32 17 0 3518 28 23 0 28 0 23 23 0 28 27 0 24 28 0 2319 22 10 8 32 0 8 30 0

  12. LNAI 3944 - Evaluating Predictive Uncertainty Challenge

    https://mlg.eng.cam.ac.uk/pub/pdf/QuiRasSinetal06.pdf
    13 Feb 2023: 101. 100. Outaouais (regression). NLPD. nMSE. (c). 0.22 0.24 0.26 0.28 0.30.2.

  13. uai2006.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/Wood-UAI-2006.pdf
    27 Jan 2023: The mean num-ber of signs per patient was 8.24 and the mean numberof stroke localizations was 1.96.

  14. chu05a.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/ChuGha05a.pdf
    13 Feb 2023: 25.732.24% 23.781.85% 23.751.74% 0.25960.0230 0.24110.0189 0.24110.0186Boston 25.561.98% 24.882.02% 24.491.85% 0.26720.0190

  15. MCMC for doubly-intractable distributions Iain MurrayGatsby…

    https://mlg.eng.cam.ac.uk/zoubin/papers/doubly_intractable.pdf
    27 Jan 2023: K. k=0. fk1(xk; θ, θ′)fk(xk; θ, θ′). (24)5. Draw r Uniform[0, 1]6.

  16. Approximate inference for the loss-calibrated Bayesian

    https://mlg.eng.cam.ac.uk/pub/pdf/LacHusGha11.pdf
    13 Feb 2023: p(θ) = N(θ|0,K1DD) (23). p(y|x,θ) = Φ(yKxDθ. σx. ), (24). where σ2x is as in (18), but with σ2 = 1.

  17. vietri.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/vietri.pdf
    27 Jan 2023: Wewill deal exclusively with directed graphical models in this paper.4. texts [41, 24, 19] for details.Assume we observe some evidence: the value of some variables in the network.The ... If the parents of n are fp1; : : :;pkg and thechilden of n are fc1;

  18. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0910/lect01.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 1: Introduction to Machine Learning January 14th, 2010 24 / 26.

  19. - Machine Learning 4F13, Spring 2014

    https://mlg.eng.cam.ac.uk/teaching/4f13/1314/lect0102.pdf
    19 Nov 2023: 4. 3. 2. 1. 0. 1. 2. 3. Rasmussen and Ghahramani Lecture 1 and 2: Probabilistic Regression 24 / 36.

  20. - Machine Learning 4F13, Spring 2015

    https://mlg.eng.cam.ac.uk/teaching/4f13/1415/lect0102.pdf
    19 Nov 2023: 1. 0. 1. 2. 3. Samples from the posteriorRasmussen and Ghahramani Lecture 1 and 2: Probabilistic Regression 24 / 37.

  21. Discovering temporal patterns of differential geneexpression in…

    https://mlg.eng.cam.ac.uk/pub/pdf/SteDenMcHetal09.pdf
    13 Feb 2023: cinerea spore suspension (or mock-inoculated) and harvested every 2 hr upto 48 hr post-inoculation for a total of 24 time points.

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