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  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

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