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71 - 80 of 261 search results for katalk:PC53 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. Accelerated Sampling for the Indian Buffet Process Finale Doshi-Velez …

    https://mlg.eng.cam.ac.uk/pub/pdf/DosGha09.pdf
    13 Feb 2023: 24.557 -13.977 -26.936. The running times and quality criteria are summarisedin table 2.

  3. Marc P. Deisenroth, Jan Peters, and Carl E. Rasmussen: ...

    https://mlg.eng.cam.ac.uk/pub/pdf/DeiPetRas08.pdf
    13 Feb 2023: 578 2.0108 9.23 6.2105 9.81012 9.02488 1.2108 9.24 3.1105 1.31012 9.05.

  4. Gaussian Process Change Point Models

    https://mlg.eng.cam.ac.uk/pub/pdf/SaaTurRas10.pdf
    13 Feb 2023: In FinancialTimes. April 24 2009. Li, D. X. On default correlation: A copula function ap-proach.

  5. Accelerated sampling for the Indian Buffet Process

    https://mlg.eng.cam.ac.uk/pub/pdf/DosGha09a.pdf
    13 Feb 2023: 24.557 -13.977 -26.936. The running times and quality criteria are summarisedin table 2.

  6. Bayesian Learning in Undirected Graphical Models:Approximate MCMC…

    https://mlg.eng.cam.ac.uk/pub/pdf/MurGha04a.pdf
    13 Feb 2023: Pattern Recogni-tion Letters, 24:1251–1259, 2003. [19] David Edwards and Tomáš Havránek.

  7. LNAI 8189 - Variational Hidden Conditional Random Fields with Coupled …

    https://mlg.eng.cam.ac.uk/pub/pdf/BouZafMor13a.pdf
    13 Feb 2023: L(q) = 〈log F(y, x, π′, X)p(π′)〉q(y,s,π′|X) 〈log q(y, s|X)q(π′)〉q(y,s,π′|X)(24). Since log ... IEEE Trans. Neural Networks andLearning Systems 24(1), 170–177 (2013). 8. Ghahramani, Z., Beal, M.: Propagation Algorithms for

  8. 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).

  9. Machine Learning Group Publications

    https://mlg.eng.cam.ac.uk/pub/topics/
    13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Gaussian Processes and Kernel Methods. Gaussian processes are non-parametric distributions useful for doing Bayesian inference

  10. 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).

  11. 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.

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