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paper.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/GhaGriSol06.pdf27 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 -
ibp6.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/ibptr.pdf27 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 -
Methods for Inference in Graphical Models
https://mlg.eng.cam.ac.uk/adrian/phd_FINAL.pdf19 Jun 2024: I’ve had the privilege to collaborate with wonderful people. Many thanks to Tony, Dan Ellis,. -
OP-CBIO120293 3290..3297
https://mlg.eng.cam.ac.uk/pub/pdf/KirGriSav12a.pdf13 Feb 2023: dances) to be routinely measured for large numbers of people. The development of novel statistical and computational method-. -
Proc. Valencia / ISBA 8th World Meeting on Bayesian ...
https://mlg.eng.cam.ac.uk/pub/pdf/GhaGriSol07.pdf13 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 -
Curriculum Vitae Zoubin Ghahramani FRS CONTACT DETAILS Department:…
https://mlg.eng.cam.ac.uk/zoubin/fullcv.pdf27 Jan 2023: 2016. NIPS Royal Society Workshop, People and Machines, Barcelona, SPAIN. Keynote, Bayesian Deep Learning Workshop, NIPS, Barcelona, SPAIN. -
Bayesian Gaussian Process Classificationwith the EM-EP…
https://mlg.eng.cam.ac.uk/pub/pdf/KimGha06a.pdf13 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/. -
chu05a.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/ChuGha05a.pdf13 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 -
Practical Probabilistic Programming with Monads
https://mlg.eng.cam.ac.uk/pub/pdf/SciGhaGor15.pdf13 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. -
chu05a.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/chu05a.pdf27 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 -
The Indian Buffet Process: Scalable Inference and Extensions Finale…
https://mlg.eng.cam.ac.uk/pub/pdf/Dos09.pdf13 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. -
Bayesian correlated clustering to integrate multiple datasetsPaul…
https://mlg.eng.cam.ac.uk/pub/pdf/KirGriSavGhaetal12.pdf13 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. -
Unsupervised Learning∗ Zoubin Ghahramani† Gatsby Computational…
https://mlg.eng.cam.ac.uk/zoubin/papers/ul.pdf27 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. -
Unsupervised Learning∗ Zoubin Ghahramani† Gatsby Computational…
https://mlg.eng.cam.ac.uk/zoubin/course05/ul.pdf27 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. -
Unsupervised Learning∗ Zoubin Ghahramani† Gatsby Computational…
https://mlg.eng.cam.ac.uk/zoubin/course04/ul.pdf27 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. -
Variational Inference for the IndianBuffet Process Finale…
https://mlg.eng.cam.ac.uk/pub/pdf/DosMilVanTeh09b.pdf13 Feb 2023: 2. The ith customer then takes dishes that have been previously sampled with probabilitymk/i, where mk is the number of people who have already sampled dish k. ... The Yale Faces (Georghiades et al., 2001)dataset consisted of 721 32x32 pixel frontal-face -
LNAI 3176 - Unsupervised Learning
https://mlg.eng.cam.ac.uk/pub/pdf/Gha03a.pdf13 Feb 2023: Some people prefer to call this a system or agent. The samemathematical theory of learning applies regardless of what we choose to call thelearner, whether it is artificial or biological. -
thesis.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/Ras96b.pdf13 Feb 2023: throughout my Ph.D. work. I hope that one day I will similarly be able to inspire people. ... convergence with such methods. In such cases people may find the required computational. -
Bayesian Gaussian Process Classificationwith the EM-EP…
https://mlg.eng.cam.ac.uk/zoubin/papers/KimGha06-PAMI.pdf27 Jan 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/. -
coverage.eps
https://mlg.eng.cam.ac.uk/pub/pdf/SilHelGhaetal10.pdf13 Feb 2023: In their paper, one isinitially given a set of pairwise distances between objects (say, by the sub-jective judgement of a group of people). -
manual.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/RasNeaHinetal96.pdf13 Feb 2023: These sections may be of someinterest to all users, but are primarily intended for people who wish to include new datasetsin DELVE, or who wish to create new prototasks and tasks -
Bayesian Time Series Learning with Gaussian Processes Roger…
https://mlg.eng.cam.ac.uk/pub/pdf/Fri15.pdf13 Feb 2023: interact with so many talented people. -
Generalised Bayesian Matrix Factorisation Models Shakir Mohamed St…
https://mlg.eng.cam.ac.uk/pub/pdf/Moh11.pdf13 Feb 2023: iv. Acknowledgements. My time at the University of Cambridge has been filled with a wealth of memorableexperiences and I have been privileged to be surrounded by a multitude of trulyinspirational people. ... Foremost amongst these people has been my -
fit-epinions-svec.eps
https://mlg.eng.cam.ac.uk/pub/pdf/LesChaKleetal10.pdf13 Feb 2023: Journal of Machine Learning Research 11 (2010) 985-1042 Submitted 12/08; Revised 8/09; Published 2/10. Kronecker Graphs: An Approach to Modeling Networks. Jure Leskovec JURE@CS.STANFORD.EDUComputer Science DepartmentStanford UniversityStanford, CA -
Scalable Inference for StructuredGaussian Process Models Yunus…
https://mlg.eng.cam.ac.uk/pub/pdf/Saa11.pdf13 Feb 2023: amazing people! -
Bayesian Learning forData-Efficient Control Rowan McAllister…
https://mlg.eng.cam.ac.uk/pub/pdf/Mca16.pdf13 Feb 2023: Bayesian Learning forData-Efficient Control. Rowan McAllister. Supervisor: Prof. C.E. Rasmussen. Advisor: Prof. Z. Ghahramani. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofDoctor of Philosophy. -
Gaussian Processes forState Space Models andChange Point Detection…
https://mlg.eng.cam.ac.uk/pub/pdf/Tur11.pdf13 Feb 2023: We take a more bold approach. 2 The term nonparametric causes quite a deal of confusion as it often leads people to believewe are working with models with zero parameters when -
Computation and Psychophysics ofSensorimotor IntegrationbyZoubin…
https://mlg.eng.cam.ac.uk/zoubin/papers/thesis.pdf27 Jan 2023: Computation and Psychophysics ofSensorimotor IntegrationbyZoubin GhahramaniB.S.E., Computer Science, University of Pennsylvania (1990)B.A., Cognitive Science, University of Pennsylvania (1990)Submitted to the Department of Brain and Cognitive
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