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search results for `computational neuroscience` |u:mlg.eng.cam.ac.uk
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Propagation Algorithms for VariationalBayesian Learning Zoubin…
https://mlg.eng.cam.ac.uk/pub/pdf/GhaBea00a.pdf13 Feb 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 -
mfdt.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/AdaStoWil00a.pdf13 Feb 2023: Amos J StorkeyDivision of Informatics. University of Edinburgh,UKa.storkey@ed.ac.uk. Zoubin GhahramaniGatsby Computational Neuroscience Unit. ... This was achieved with a considerablesaving in computational effort and comes close to makingreal time -
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. -
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. -
nlds-final.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/GhaRow98a.pdf13 Feb 2023: Roweis. Gatsby Computational Neuroscience UnitUniversity College LondonLondon WC1N 3AR, U.K. http://www.gatsby.ucl.ac.uk/. -
Learning to Parse Images
https://mlg.eng.cam.ac.uk/pub/pdf/HinGhaTeh99a.pdf13 Feb 2023: Hinton and Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College LondonLondon, United Kingdom WC1N 3ARfhinton,zoubing@gatsby.ucl.ac.uk. ... 3] D. Marr. Vision : A Computational Investigation into the Human Representationand -
Randomized Algorithms for Fast Bayesian Hierarchical Clustering…
https://mlg.eng.cam.ac.uk/zoubin/papers/ranbhc.pdf27 Jan 2023: Randomized Algorithms for Fast Bayesian Hierarchical Clustering. Katherine A. Heller and Zoubin GhahramaniGatsby Computational Neuroscience Unit. ... countably infinite) mixture model (DPM). While the original BHCalgorithm has O(n2) computational -
Bayesian Learning of Model Structure Zoubin GhahramaniGatsb y…
https://mlg.eng.cam.ac.uk/zoubin/talks/cmu-talk.pdf27 Jan 2023: Application Areas. computational molecular biology financial time series prediction speech and video processing analysis of functional neuro-imaging data. ... computational neuroscience. -
main.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/SchWinHan09.pdf13 Feb 2023: Since the modes of the conditional densities have closed-formexpressions, the ICM algorithm has a low computational cost per iteration. ... Computational Intelligence and Neuroscience 2008 (Feb 2008). 12. Graham, D.B., Allinson, N.M.: Characterizing -
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. -
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. -
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,. ... Afurther practical reason is related to the fact that the computational expense of -
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 -
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 a Lecturer atthe Gatsby Computational Neuroscience Unit at University CollegeLondon, with -
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. -
Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/authors/13 Feb 2023: Abstract: Existing methods for estimating uncertainty in deep learning tend to require multiple forward passes, making them unsuitable for applications where computational resources are limited. ... Abstract: On a mathematical level, most computational
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