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  1. Results that match 1 of 2 words

  2. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0910/lect01.pdf
    19 Nov 2023: Here is a useful statistics / pattern recognition glossary:http://alumni.media.mit.edu/tpminka/statlearn/glossary/glossary.html. Ghahramani & Rasmussen (CUED) Lecture 1: Introduction to Machine Learning January 14th, 2010 26 /
  3. Statistical Causal Inference

    https://mlg.eng.cam.ac.uk/zoubin/SALD/Intro-Causal.pdf
    27 Jan 2023: For example, although poverty may cause crime, we cannot ethically intervene to impoverish people. ... single marginal independence between X1 and X2. This gives many people pause, as it should.
  4. zglactive.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/zglactive.pdf
    27 Jan 2023: 1http://www.ai.mit.edu/people/jrennie/20Newsgroups/. 10 20 30 40 500. 100. 200. 300. 400. 500.
  5. Bayesian Structured Prediction using Gaussian Processes Sébastien…

    https://mlg.eng.cam.ac.uk/pub/pdf/BraQuaGha14a.pdf
    13 Feb 2023: 1by Taku Kudo http://crfpp.googlecode.com/svn/trunk/doc/index.html2by Mark Schmidt http://www.di.ens.fr/mschmidt/Software/crfChain.html3by Thorsten Joachims
  6. images/test_user_webdesign.eps

    https://mlg.eng.cam.ac.uk/pub/pdf/IwaShaGha13a.pdf
    13 Feb 2023: zoubin@eng.cam.ac.uk. ABSTRACT. Many people share their activities with others through on-line communities. ... 1. INTRODUCTIONMany people share their activities with others through on-. line communities, such as social sharing, social networking,.
  7. 13 Feb 2023: The first customer takes the first Poisson(α)dishes. The following customers try previously sam-pled dishes with probability mk/n, where mk is thenumber of people who tried dish k
  8. Accelerated sampling for the Indian Buffet Process

    https://mlg.eng.cam.ac.uk/pub/pdf/DosGha09a.pdf
    13 Feb 2023: The first customer takes the first Poisson(α)dishes. The following customers try previously sam-pled dishes with probability mk/n, where mk is thenumber of people who tried dish k
  9. Formatting Instructions for NIPS -8-

    https://mlg.eng.cam.ac.uk/zoubin/papers/JinGha02.pdf
    27 Jan 2023: As will be shown later, this constraint makes it possible for us to build up a purely discriminative approach while for learning problems using unlabeled data people usually take a generative
  10. Variational Inference for Nonparametric Multiple Clustering Yue Guan, …

    https://mlg.eng.cam.ac.uk/pub/pdf/GuaDyNiuetal10.pdf
    13 Feb 2023: For example, face images of people can be grouped basedon their pose or clustered based on the identity of the person. ... 4.2.1 Experiments on Face DataThe face dataset from UCI KDD repository [2] consists of 640 faceimages of 20 people taken at varying
  11. ibpnips4.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/ibp-nips05.pdf
    27 Jan 2023: αi1α. Customers areexchangeableunder this process: the probability of a particularseating arrangement depends only on the number of people at each table, and not the orderin which they enter the restaurant.
  12. TCS November 2001, 2nd pages.qxd

    https://mlg.eng.cam.ac.uk/zoubin/papers/WolGhaFla01.pdf
    27 Jan 2023: Movement provides the only means we have to interact with both the worldand other people. ... http://tics.trends.com. 493Review. As stated at the beginning of this article, directinformation transmission between people, such asspeech, arm gestures or
  13. Statistical Models for Partial Membership Katherine A. Heller…

    https://mlg.eng.cam.ac.uk/zoubin/papers/HelWilGha08.pdf
    27 Jan 2023: is expected to be (Are 100% ofthe people themselves 75% “White British” and 25%“Pakistani”? ... Or are 75% of the people 100% “WhiteBritish” and the rest are 100% “Pakistani”?
  14. Bayesian Knowledge Corroboration with LogicalRules and User Feedback…

    https://mlg.eng.cam.ac.uk/pub/pdf/KasVanGraHer10.pdf
    13 Feb 2023: Such tasks could aim at retrieving relations between companies, people,prices, product types, etc. ... The labeled nodes of an ER graph represent entities (e.g., people, locations,products, dates, etc.).
  15. 13 Feb 2023: Recently, the Netflix Grand Prize, a contest todevelop methods for predicting how much people willenjoy a movie according to their movie preferences,was awarded to a team which combined many
  16. SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases

    https://mlg.eng.cam.ac.uk/pub/pdf/LacPalDav13a.pdf
    13 Feb 2023: We use these categories to construct a list of triplescontaining facts about movies and people. ... wildly inconsistent birthdates for people), indicating that SiGMa could be used tohighlight data inconsistencies between databases.
  17. nips2007-final.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/SilChuGha08.pdf
    27 Jan 2023: available at http://people.scs.fsu.edu/burkardt/msrc/rcm/rcm.html. Table 1: The averaged AUC scores of citation prediction on test cases of the Cora database arerecorded along with
  18. griffiths11a.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/GriGha11.pdf
    13 Feb 2023: 2α. This processcontinues until all customers have seats, defining a distribution over allocations of people to tables,and, more generally, objects to classes.
  19. Bayesian Modelling Zoubin Ghahramani Department of…

    https://mlg.eng.cam.ac.uk/zoubin/talks/lect1bayes.pdf
    27 Jan 2023: If people want to applyit to problems A, B, C, D.
  20. Gaussian Process Regression Networks Andrew Gordon Wilson∗ David A.…

    https://mlg.eng.cam.ac.uk/pub/pdf/WilKnoGha11.pdf
    13 Feb 2023: These datasets can be found in NeilLawrence’s GPSIM toolbox: http://staffwww.dcs.shef.ac.uk/people/N.Lawrence/gpsim/. Typical GPRN (VB) runtimes for the 50D and 1000D datasets were
  21. A Nonparametric Bayesian Model for Multiple Clustering…

    https://mlg.eng.cam.ac.uk/pub/pdf/NiuDyGha12.pdf
    13 Feb 2023: Theface dataset from UCI KDD repository [2] consists of640 face images of 20 people taken at varying poses(straight, left, right, up).

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