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11 - 20 of 96 search results for People aliens |u:mlg.eng.cam.ac.uk where 0 match all words and 96 match some words.
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  2. 4F13: Machine Learninghttp://learning.eng.cam.ac.uk/zoubin/ml06/…

    https://mlg.eng.cam.ac.uk/zoubin/ml06/lecture8.pdf
    27 Jan 2023: Statistical samplingWhat is the average height h of people p in Cambridge C? ... EpC[h(p)] 1|C|. pC. h(p). 1S. Ss=1. h(p(s). ), for random survey of S people {p(s)} C.
  3. 10 | UNIVERSITY OF CAMBRIDGE NEWSLETTER | FEBRUARY / ...

    https://mlg.eng.cam.ac.uk/zoubin/misc/KarstenMalariaNewsletter.pdf
    27 Jan 2023: According to the World Health Organisation, more than 1 million people die from its effects every 12 months. ... Near-missesWhy do people gamble if they know that the house always wins?
  4. Mind Reading by Machine Learning

    https://mlg.eng.cam.ac.uk/pub/pdf/HusNopLen10.pdf
    13 Feb 2023: Finally, we also implemented as an alternative methoda previously published algorithm (‘MCMC with people’)to infer subjective distributions (Sanborn & Griffiths,2008). ... Notably, it outperformedthe ‘MCMC with people’ method even in the case
  5. A Simple Bayesian Framework for Content-Based Image Retrieval…

    https://mlg.eng.cam.ac.uk/zoubin/papers/HelGha06.pdf
    27 Jan 2023: everyday lives of people around the world. Accordingly,. there has been a substantial amount of CBIR research, and. ... as ease of displaying the images, reasonable quantities for. human hand labelling, and because when people perform.
  6. The Indian Buffet Process and Extensions Zoubin Ghahramani University …

    https://mlg.eng.cam.ac.uk/zoubin/talks/turin09.pdf
    27 Jan 2023: But clustering models are restrictive. • Consider modelling people’s movie preferences (the “Netflix” problem). ... 3.1 The Independent Component Analysis i F H M M. Independent C omponent A nal ysis [9] (I C A ) means di fferent things to di
  7. Variational Inference for BayesianMixtures of Factor Analysers Zoubin …

    https://mlg.eng.cam.ac.uk/zoubin/papers/nips99.pdf
    27 Jan 2023: Variational Inference for BayesianMixtures of Factor Analysers. Zoubin Ghahramani and Matthew J. Beal. Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, England{zoubin,m.beal}@gatsby.ucl.ac.uk
  8. Gender Classification with Bayesian Kernel Methods [IJCNN1261]

    https://mlg.eng.cam.ac.uk/pub/pdf/KimKimGha06b.pdf
    13 Feb 2023: People respond differentlyaccording to gender. Human computer interaction system canbe more user-friendly and more human-like when it considersthe user’s gender. ... This database has color faceimages of 103 Asian people, 53 men and 50 women, where.
  9. A Nonparametric Bayesian Approach toModeling Overlapping Clusters…

    https://mlg.eng.cam.ac.uk/zoubin/papers/HelGha07over.pdf
    27 Jan 2023: A common approach is tocluster people; clusters could characterize gender, age,ethnicity, or simply movie taste (e.g. ... people who likehorror movies). However, any particular person canclearly belong to multiple such clusters at the sametime, e.g.
  10. Bayesian Sets Zoubin Ghahramani∗ and Katherine A. HellerGatsby…

    https://mlg.eng.cam.ac.uk/zoubin/papers/bsets-nips05.pdf
    27 Jan 2023: Depending on the application, the set D may consist of web pages, movies, people,words, proteins, images, or any other object we may wish to form queries on. ... The size of the dataset after preprocessing was 1813 people by 1532 movies.
  11. The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...

    https://mlg.eng.cam.ac.uk/zoubin/papers/ihmm.pdf
    27 Jan 2023: The Infinite Hidden Markov Model. Matthew J. Beal Zoubin Ghahramani Carl Edward Rasmussen. Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, Englandhttp://www.gatsby.ucl.ac.uk. {m.beal,zoubin,edward

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