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101 - 110 of 314 search results for TALK:ZA31 24 / |u:mlg.eng.cam.ac.uk where 0 match all words and 314 match some words.

  1. Results that match 1 of 2 words

  2. - 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.

  3. grasshopper.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/GolZhuVanAnd07.pdf
    13 Feb 2023: Afterexamining the results for all 24 configurations, weselected the best one:α = 0.25 andλ = 0.5. ... of 11DUC 2004 Task 4b 24 0.4067 [0.3883, 0.4251] Between 2 & 3 of 11.

  4. - 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.

  5. FAST ONLINE ANOMALY DETECTION USING SCAN STATISTICS Ryan Turner ...

    https://mlg.eng.cam.ac.uk/pub/pdf/TurBotGha10.pdf
    13 Feb 2023: λ̂(t t) =Ni=1. ueu(t+tti) = eutNi=1. ueu(tti). = eutλ̂(t). (24). If a new event has occurred at t we must add k(0) at theend: ... Note that as t these equations approachthose without edge correction, (24), as expected.

  6. Function factorization using warped Gaussian processes Mikkel N.…

    https://mlg.eng.cam.ac.uk/pub/pdf/Sch09.pdf
    13 Feb 2023: 1. 2 1. 2erf( g. 2. ). ). , (24). parameterized by log scale parameters θh = {λi}.This warp function was suggested by Schmidt and Lau-rberg (2008) and has the property that it

  7. zglactive.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/zglactive.pdf
    27 Jan 2023: Combining Active Learning and Semi-Supervised LearningUsing Gaussian Fields and Harmonic Functions. Xiaojin Zhu. ZHUXJ@CS.CMU.EDUJohn Lafferty. LAFFERTY@CS.CMU.EDU. Zoubin Ghahramani. ZOUBIN@GATSBY.UCL.AC.UKSchool of Computer Science, Carnegie

  8. - Machine Learning 4F13, Michaelmas 2015

    https://mlg.eng.cam.ac.uk/teaching/4f13/1516/lect0102.pdf
    19 Nov 2023: 1. 0. 1. 2. 3. Samples from the posteriorGhahramani Lecture 1 and 2: Probabilistic Regression 24 / 38.

  9. paper.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/RotVanMooGha10.pdf
    13 Feb 2023: 0.99 1 0.77Soft-ss 0 1 0.96 0.99 0.03 0.21NBK 0.24 0.95 0.1 0.89 0.35 0.12.

  10. 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.

  11. Methods for Inference in Graphical Models

    https://mlg.eng.cam.ac.uk/adrian/phd_FINAL.pdf
    19 Jun 2024: 3 Additional Background 24. 3.1 MAP Inference and Tractable Cases. 24.

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