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Unsupervised Learning Week 2: Latent Variable Models Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/course03/lect2.pdf27 Jan 2023: Unsupervised Learning. Week 2: Latent Variable Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. -
ibpnips4.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/GriGha06.pdf13 Feb 2023: Infinite Latent Feature Modelsand the Indian Buffet Process. Thomas L. Griffiths Zoubin GhahramaniCognitive and Linguistic Sciences Gatsby Computational Neuroscience UnitBrown University, Providence RI University College London, Londontom -
Propagation Algorithms for VariationalBayesian Learning Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/papers/nips00beal.pdf27 Jan 2023: Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, England{zoubin,m.beal}@gatsby.ucl.ac.uk http://www.gatsby.ucl.ac.uk. ... 2] M.J. Beal and Z. Ghahramani. The variational Kalman smoother. Technical -
Unsupervised Learning Week 2: Latent Variable Models Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/course04/lect2.pdf27 Jan 2023: Unsupervised Learning. Week 2: Latent Variable Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. -
Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/authors/13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Tameem Adel. George Nicholson, Marta Blangiardo, Mark Briers, Peter J Diggle, Tor Erlend Fjelde, Hong Ge, Robert J B Goudie, -
Occam’s Razor Carl Edward RasmussenDepartment of Mathematical…
https://mlg.eng.cam.ac.uk/zoubin/papers/occam.pdf27 Jan 2023: carl@imm.dtu.dk http://bayes.imm.dtu.dk. Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College London17 Queen Square, London WC1N 3AR, England. -
Split and Merge EM Algorithm for Improving Gaussian Mixture Density…
https://mlg.eng.cam.ac.uk/pub/pdf/UedNakGha00b.pdf13 Feb 2023: ZOUBIN GHAHRAMANI AND GEOFFREY E. HINTONGatsby Computational Neuroscience Unit, University College London, 17 Queen Square, London WC1N 3AR, UK. ... He is currently the director of the Gatsby Com-putational neuroscience Unit at University College London. -
Infinite Sparse Factor Analysis and InfiniteIndependent Components…
https://mlg.eng.cam.ac.uk/zoubin/papers/ica07knowles.pdf27 Jan 2023: Technical Report 1, Gatsby Computational Neuroscience Unit (2005). 6. Ghahramani, Z., Griffiths, T., Sollich, P.: Bayesian nonparametric latent featuremodels. -
Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/13 Feb 2023: In many applications, particularly in physical sciences and engineering, but also in areas such as geostatistics and neuroscience, invariance to symmetries is one of the most fundamental forms of prior information -
SMEM Algorithm for Mixture Models
https://mlg.eng.cam.ac.uk/pub/pdf/UedNakGha98a.pdf13 Feb 2023: Hinton zoubin@gatsby.uc1. ac.uk g.hinton@ucl.ac.uk. Gatsby Computational Neuroscience Unit, University College London 17 Queen Square, London WC1N 3AR, UK. -
Forward dynamic models in human motor control: Psychophysical evidence
https://mlg.eng.cam.ac.uk/pub/pdf/WolGhaJor94a.pdf13 Feb 2023: Daniel M. Wolpert and Zoubin Ghahramani are McDonnell-Pew Fellows in Cognitive Neuroscience. -
Computational structure of coordinatetransformations: A…
https://mlg.eng.cam.ac.uk/zoubin/papers/coord.pdf27 Jan 2023: Zoubin Ghahramani and Daniel M. Wolpert are McDonnell-PewFellows in Cognitive Neuroscience. -
nipsderiv.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/SolMurLeietal03.pdf13 Feb 2023: LeithHamilton Institute,National Univ. of. Ireland, Maynooth,Co. Kildare, Irelanddoug.leith@may.ie. C. E. RasmussenGatsby Computational Neuroscience Unit,. -
Variational Inference for BayesianMixtures of Factor Analysers Zoubin …
https://mlg.eng.cam.ac.uk/zoubin/papers/nips99.pdf27 Jan 2023: Beal. Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, England{zoubin,m.beal}@gatsby.ucl.ac.uk http://www.gatsby.ucl.ac.uk. -
nlds-ftp.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/nlds-ftp.pdf27 Jan 2023: RoweisGatsby Computational Neuroscience UnitUniversity College LondonLondon WC1N 3AR, U.K.http://www.gatsby.ucl.ac.uk/AbstractThe Expectation{Maximization (EM) algorithm is an iterative pro-cedure for maximum likelihood parameter estimation -
main.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/Sch09b.pdf13 Feb 2023: 8. References. [1] A. T. Cemgil. Bayesian inference for nonnegative matrixfactorisation models.ComputationalIntelligence and Neuroscience, 2009. -
MCMC for doubly-intractable distributions Iain MurrayGatsby…
https://mlg.eng.cam.ac.uk/zoubin/papers/doubly_intractable.pdf27 Jan 2023: MCMC for doubly-intractable distributions. Iain MurrayGatsby Computational. Neuroscience UnitUniversity College London. -
zgl.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/zgl.pdf27 Jan 2023: Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, UK. -
ibpnips4.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/ibp-nips05.pdf27 Jan 2023: Infinite Latent Feature Modelsand the Indian Buffet Process. Thomas L. Griffiths Zoubin GhahramaniCognitive and Linguistic Sciences Gatsby Computational Neuroscience UnitBrown University, Providence RI University College London, Londontom -
iMGPE.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/RasGha02.pdf13 Feb 2023: Infinite Mixtures of Gaussian Process Experts. Carl Edward RasmussenandZoubin GhahramaniGatsby Computational Neuroscience Unit.
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