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  1. Results that match 1 of 2 words

  2. Graphical Models Zoubin Ghahramani Department of…

    https://mlg.eng.cam.ac.uk/zoubin/talks/lect2gm.pdf
    27 Jan 2023: many others, see http://people.cs.ubc.ca/murphyk/Software/bnsoft.html. Summary. • inference consists of the problem of computingp(variables of interest|observed variables). •
  3. Propagation Algorithms for VariationalBayesian Learning Zoubin…

    https://mlg.eng.cam.ac.uk/pub/pdf/GhaBea00a.pdf
    13 Feb 2023: Propagation Algorithms for VariationalBayesian Learning. 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
  4. ibpnips4.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/GriGha06.pdf
    13 Feb 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.
  5. 13 Feb 2023: People often object to Bayesian methods on the basis that it forces one todefine priors on the parameters. ... Finally, people trained in the sciences are uncomfortable with the very notionof subjectivity in data analysis and modelling.
  6. December 8, 2008 5:18 Connection Science connsci Connection…

    https://mlg.eng.cam.ac.uk/pub/pdf/DosRoy08.pdf
    13 Feb 2023: Unfortunately, agents that interact with people using natural language often expe-rience communication errors and do not correctly understand the user’s intentions. ... Another set of challenges arise because people may have different preferences inhow
  7. Propagation Algorithms for VariationalBayesian Learning Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/papers/nips00beal.pdf
    27 Jan 2023: Propagation Algorithms for VariationalBayesian Learning. 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. 13 Feb 2023: As theevening progresses, these groups naturally evolve as people. The Random Forest Kernel (and creating other kernels for big data from random partitions).
  9. Large Scale Nonparametric Bayesian Inference:Data Parallelisation in…

    https://mlg.eng.cam.ac.uk/pub/pdf/DosKnoMohGha09.pdf
    13 Feb 2023: While large, thesedatasets are often still sparse: For example, a biologist may have expression levels from thousandsof genes from only a few people. ... buffet. The first customer takesthe first Poisson(α) dishes. The following customers try previously
  10. Learning with Multiple Labels

    https://mlg.eng.cam.ac.uk/pub/pdf/JinGha02a.pdf
    13 Feb 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
  11. A Probabilistic Model for Online Document Clustering with Application …

    https://mlg.eng.cam.ac.uk/pub/pdf/ZhaGhaYan04a.pdf
    13 Feb 2023: The most obvious application of noveltydetection is that, by detecting novel events, systems can automatically alert people whennew events happen, for example.
  12. The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...

    https://mlg.eng.cam.ac.uk/pub/pdf/BeaGhaRas02.pdf
    13 Feb 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
  13. Statistical Models for Partial Membership Katherine A. Heller…

    https://mlg.eng.cam.ac.uk/pub/pdf/HelWilGha08.pdf
    13 Feb 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. 544 The Block Diagonal Infinite Hidden Markov Model Thomas ...

    https://mlg.eng.cam.ac.uk/pub/pdf/SteGhaGoretal09.pdf
    13 Feb 2023: This datasettakes the form of a matrix of counts cmn of the numberof people commuting each day between municipalitiesindexed by m and n. ... We may assume that this matrixhas a block-diagonal structure, since people are morelikely to commute between
  15. Variational Inference for the Indian Buffet Process Finale…

    https://mlg.eng.cam.ac.uk/pub/pdf/DosMilVanTeh09.pdf
    13 Feb 2023: The first customer takes the firstPoisson(α) dishes. The ith customer then takes dishesthat have been previously sampled with probabilitymk/i, where mk is the number of people who have ... The YaleFaces (Georghiades et al., 2001) dataset consisted of721
  16. Gaussian Processes for time-marked time-series data John P.…

    https://mlg.eng.cam.ac.uk/pub/pdf/CunGhaRas12.pdf
    13 Feb 2023: see attendance of 40-55 thou-sand people. ... 259. Gaussian Processes for time-marked time-series data. ball game on traffic, as people tend to arrive and leaveearly.
  17. nips2007-final.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/SilChuGha08.pdf
    13 Feb 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. A Probabilistic Model for Online DocumentClustering with Application…

    https://mlg.eng.cam.ac.uk/zoubin/papers/zgy-nips04.pdf
    27 Jan 2023: The most obvious application of noveltydetection is that, by detecting novel events, systems can automatically alert people when.
  19. 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.
  20. 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.
  21. 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
  22. 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,.
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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”?
  29. 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.
  30. 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.).
  31. 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
  32. 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.
  33. 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
  34. 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.
  35. 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.
  36. 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
  37. 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).
  38. The IBP Compound Dirichlet Process and its Application to Focused…

    https://mlg.eng.cam.ac.uk/pub/pdf/WilWanHelBle10.pdf
    13 Feb 2023: 3Matlab code is available from the authors4http://people.csail.mit.edu/jrennie/20Newsgroups/5http://kdd.ics.uci.edu/databases/reuters21578/. 0 5 10 15 20 25 30 350.
  39. Beyond Dataset Bias: Multi-task UnalignedShared Knowledge Transfer…

    https://mlg.eng.cam.ac.uk/pub/pdf/TomQuaCapLam12.pdf
    13 Feb 2023: 3 From http://www.vision.ee.ethz.ch/pgehler/projects/iccv09/4 DenseHueV3H1 from http://lear.inrialpes.fr/people/guillaumin/data.php5 From http://attributes.kyb.tuebingen.mpg.de/. 12 T.
  40. paper.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/GhaGriSol06.pdf
    27 Jan 2023: 6.5. Extracting features from similarity judgments. One of the goals of cognitive psychology is to determine the kinds of representationsthat underlie people’s judgments. ... In particular, a method called “additive cluster-ing” has been used to
  41. ibp6.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/ibptr.pdf
    27 Jan 2023: This assumption seems appropriate when describing our friend theRed Sox fan: it is possible to imagine an arbitrarily large set of features that could be used todescribe people, and which subset ... 2α , andthe third table with probabililty α2α. This
  42. 27 Jan 2023: 2016. NIPS Royal Society Workshop, People and Machines, Barcelona, SPAIN. Keynote, Bayesian Deep Learning Workshop, NIPS, Barcelona, SPAIN.
  43. OP-CBIO120293 3290..3297

    https://mlg.eng.cam.ac.uk/pub/pdf/KirGriSav12a.pdf
    13 Feb 2023: dances) to be routinely measured for large numbers of people. The development of novel statistical and computational method-.
  44. Proc. Valencia / ISBA 8th World Meeting on Bayesian ...

    https://mlg.eng.cam.ac.uk/pub/pdf/GhaGriSol07.pdf
    13 Feb 2023: 6.5. Extracting features from similarity judgments. One of the goals of cognitive psychology is to determine the kinds of representationsthat underlie people’s judgments. ... In particular, a method called “additive cluster-ing” has been used to
  45. Bayesian Gaussian Process Classificationwith the EM-EP…

    https://mlg.eng.cam.ac.uk/pub/pdf/KimGha06a.pdf
    13 Feb 2023: 7. The optimization procedure is described in Appendix B in [10] and thecode is available from http://www.kyb.tuebingen.mpg.de/bs/people/carl/code/minimize/.
  46. chu05a.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/ChuGha05a.pdf
    13 Feb 2023: The goalis to predict a person’s rating on new items given the person’s past ratings on similar items and theratings of other people on all the items (including the
  47. Practical Probabilistic Programming with Monads

    https://mlg.eng.cam.ac.uk/pub/pdf/SciGhaGor15.pdf
    13 Feb 2023: For this reason we include in thepaper some material that may be difficult to read for people with-out deep knowledge of Bayesian statistics.
  48. chu05a.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/chu05a.pdf
    27 Jan 2023: The goalis to predict a person’s rating on new items given the person’s past ratings on similar items and theratings of other people on all the items (including the
  49. Bayesian correlated clustering to integrate multiple datasetsPaul…

    https://mlg.eng.cam.ac.uk/pub/pdf/KirGriSavGhaetal12.pdf
    13 Feb 2023: large numbers of people. The development of novel statistical andcomputational methodology for integrating diverse data sources istherefore essential, and it is with this that the present work isconcerned.
  50. 13 Feb 2023: 2006). When applied to a data set where people are asked to choose celebrities. ... of people who sampled dish k before customer n. Each customer also tries.
  51. 27 Jan 2023: Some people prefer tocall this a system or agent. The same mathematical theory of learning applies regardless of what we choose to call the learner,whether it is artificial or biological.

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