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71 - 80 of 100 search results for Economics exam |u:mlg.eng.cam.ac.uk where 5 match all words and 95 match some words.

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  2. Generalised Bayesian Matrix Factorisation Models Shakir Mohamed St…

    https://mlg.eng.cam.ac.uk/pub/pdf/Moh11.pdf
    13 Feb 2023: 1.1 The Ubiquitous Latent Variable. Models with latent variables hold a central role in in the analysis of data in a diverseset of research areas spanning machine learning, statistics, economics,

  3. erice-top.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/varintro.pdf
    27 Jan 2023: particular exam-ples, but we are not as yet able to provide assurance that the frameworkwill transfer easily to other examples.We begin in Section 2 with a brief overview of

  4. Scalable Inference for StructuredGaussian Process Models Yunus…

    https://mlg.eng.cam.ac.uk/pub/pdf/Saa11.pdf
    13 Feb 2023: Scalable Inference for StructuredGaussian Process Models. Yunus Saatçi. St. Edmund’s College. University of Cambridge. This dissertation is submitted for the degree of. Doctor of Philosophy. December 15, 2011. Preface. This thesis contributes to

  5. Bayesian Learning forData-Efficient Control Rowan McAllister…

    https://mlg.eng.cam.ac.uk/pub/pdf/Mca16.pdf
    13 Feb 2023: Learning control of dynamical systems is a broad subject. Applications rangeform industrial (refining, manufacturing, power), transportation, logistics, electron-ics, robotics, computer science, to economics. ... There is themathematics community

  6. thesis.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/Ras96b.pdf
    13 Feb 2023: EVALUATION OF GAUSSIAN PROCESSES AND. OTHER METHODS FOR NON-LINEAR REGRESSION. Carl Edward Rasmussen. A thesis submitted in conformity with the requirements. for the degree of Doctor of Philosophy,. Graduate Department of Computer Science,. in the

  7. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0809/lect01.pdf
    19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. •

  8. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0708/lect01.pdf
    19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. •

  9. A Kernel Approach to Tractable Bayesian Nonparametrics

    https://mlg.eng.cam.ac.uk/pub/pdf/HusLac11.pdf
    13 Feb 2023: For exam-ple, Gaussian process regression can be de-rived this way from Bayesian linear regres-sion. ... It iswell known that PCA has this property, but, for exam-ple, factor analysis (FA) does not [9], thus one cannotexpect a kernel version of FA

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

    https://mlg.eng.cam.ac.uk/pub/pdf/Sch09.pdf
    13 Feb 2023: The posterior can then, for exam-ple, be used to make inference about the value of theoutput, y, at a previously unseen position in inputspace, x, by computing the predictive distributionwhich

  11. 4F13: Machine Learning Lectures 1-2: Introduction to Machine Learning …

    https://mlg.eng.cam.ac.uk/zoubin/ml06/lect1-2.pdf
    27 Jan 2023: Using ideas from: Statistics, Computer Science, Engineering, Applied Mathematics,Cognitive Science, Psychology, Computational Neuroscience, Economics. •

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