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  2. SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases

    https://mlg.eng.cam.ac.uk/pub/pdf/LacPalDav13a.pdf
    13 Feb 2023: Finally, we mention thatPeralta [24] aligned the movie database MovieLens to IMDbthrough a combination of steps of manual cleaning with someautomation.
  3. Relational Learning with Gaussian Processes Wei ChuCCLS Columbia…

    https://mlg.eng.cam.ac.uk/pub/pdf/ChuSinGhaetal07.pdf
    13 Feb 2023: 28. 26. 24. 22. 20. 18. κ. log P(E). log P(E,Y).
  4. 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.
  5. 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;
  6. coverage.eps

    https://mlg.eng.cam.ac.uk/pub/pdf/SilHelGhaetal10.pdf
    13 Feb 2023: student course f aculty projectcornell 0.87 0.82 0.87 0.82 0.80 0.19 0.18 0.24 0.18 0.18texas 0.62 0.32 0.77 ... 0.55 0.54 0.24 0.21 0.29 0.12 0.12.
  7. 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.
  8. Relational Learning with Gaussian Processes Wei ChuCCLS Columbia…

    https://mlg.eng.cam.ac.uk/zoubin/papers/relationalgp.pdf
    27 Jan 2023: 28. 26. 24. 22. 20. 18. κ. log P(E). log P(E,Y).
  9. Variational Inference for the Indian Buffet Process Finale…

    https://mlg.eng.cam.ac.uk/pub/pdf/DosMilVanTeh09.pdf
    13 Feb 2023: 25 2973.7 -2.2475 163.24 -1.066. Finite Variational 10 767.1 -0.90825 10072 -0.7465 176.62 -1.051.
  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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