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zglactive.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/zglactive.pdf27 Jan 2023: Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, UK. ... As a final word on computational efficiency, wenote that after adding query and its answer to , inthe next iteration we will need to compute 8z 0. - -
Predictive Automatic Relevance Determinationby Expectation…
https://mlg.eng.cam.ac.uk/pub/pdf/QiMinPic04a.pdf13 Feb 2023: Rosalind W. Picard picard@media.mit.eduMIT Media Laboratory, Cambridge, MA, 02139 USA. Zoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, UCL, 17 Queen Square, London, WC1N 3AR, UK. ... 2.3. Computational Issues. To compute -
v7final.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/valencia02.pdf27 Jan 2023: MATTHEW J. BEAL and ZOUBIN GHAHRAMANIGatsby Computational Neuroscience Unit, UCL, UK. ... A reasonable comparison should take into account the tradeoff betweenaccuracy and computational complexity. -
doi:10.1016/j.patrec.2005.09.027
https://mlg.eng.cam.ac.uk/pub/pdf/KimKimGha06a.pdf13 Feb 2023: c Gatsby Computational Neuroscience Unit, UCL, London WC1N 3AR, UK. Received 11 August 2004; received in revised form 15 September 2005Available online 18 November 2005. -
rszg2006e.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/SilGha06a.pdf13 Feb 2023: Bayesian Inference for Gaussian Mixed Graph Models. Ricardo Silva. Gatsby Computational Neuroscience UnitUniversity College Londonrbas@gatsby.ucl.ac.uk. ... This workwas funded by the Gatsby Charitable Foundation. References. A. Atay-Kayis and H. -
Learning Multiple Related Tasks using LatentIndependent Component…
https://mlg.eng.cam.ac.uk/zoubin/papers/zgy-nips05.pdf27 Jan 2023: School of Computer Science ‡ Gatsby Computational Neuroscience UnitCargenie Mellon University University College London. -
nips2007-final.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/SilChuGha08.pdf27 Jan 2023: Hidden Common Cause Relations inRelational Learning. Ricardo Silva. Gatsby Computational Neuroscience UnitUCL, London, UK WC1N 3ARrbas@gatsby.ucl.ac.uk. ... Wei ChuCenter for Computational Learning SystemsColumbia University, New York, NY 10115. -
Bayesian Sets Zoubin Ghahramani∗ and Katherine A. HellerGatsby…
https://mlg.eng.cam.ac.uk/zoubin/papers/bsets-nips05.pdf27 Jan 2023: Bayesian Sets. Zoubin Ghahramani and Katherine A. HellerGatsby Computational Neuroscience Unit. ... University College LondonLondon WC1N 3AR, U.K. {zoubin,heller}@gatsby.ucl.ac.uk. Abstract. Inspired by “Google Sets”, we consider the problem of -
A Simple Bayesian Framework for Content-Based Image Retrieval…
https://mlg.eng.cam.ac.uk/pub/pdf/HelGha06a.pdf13 Feb 2023: Gatsby Computational Neuroscience Unit. University College London. heller@gatsby.ucl.ac.uk. Zoubin Ghahramani. Department of Engineering. ... We still have not described the specific model, p(x|θ),or addressed the issue of computational efficiency of com -
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
https://mlg.eng.cam.ac.uk/pub/pdf/ZhuGhaLaf03a.pdf13 Feb 2023: ZOUBIN@GATSBY.UCL.AC.UK. John Lafferty. LAFFERTY@CS.CMU.EDUSchool of Computer Science, Carnegie Mellon University, Pittsburgh PA 15213, USA. ... Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, UK. -
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 -
Statistical Models for Partial Membership Katherine A. Heller…
https://mlg.eng.cam.ac.uk/pub/pdf/HelWilGha08.pdf13 Feb 2023: Statistical Models for Partial Membership. Katherine A. Heller heller@gatsby.ucl.ac.ukSinead Williamson saw56@cam.ac.ukZoubin Ghahramani zoubin@eng.cam.ac.ukEngineering Department, University of Cambridge, Cambridge, UK. ... Gatsby Computational -
MCMC for doubly-intractable distributions Iain MurrayGatsby…
https://mlg.eng.cam.ac.uk/pub/pdf/MurGhaMac06a.pdf13 Feb 2023: MCMC for doubly-intractable distributions. Iain MurrayGatsby Computational. Neuroscience UnitUniversity College London. ... i.murray@gatsby.ucl.ac.uk. Zoubin GhahramaniDepartment of EngineeringUniversity of Cambridgezoubin@eng.cam.ac.uk. David J. C. -
Bayesian Hierarchical Clustering Katherine A. Heller…
https://mlg.eng.cam.ac.uk/zoubin/papers/bhcnew.pdf27 Jan 2023: Bayesian Hierarchical Clustering. Katherine A. Heller heller@gatsby.ucl.ac.uk. Zoubin Ghahramani zoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, University College London17 Queen Square, London, WC1N 3AR, UK. ... The limitations of our -
aistats2007-ibpsb.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/TehGorGha07a.pdf13 Feb 2023: Stick-breaking Construction for the Indian Buffet Process. Yee Whye TehGatsby Computational Neuroscience Unit. ... University College London17 Queen Square. London WC1N 3AR, UKywteh@gatsby.ucl.ac.uk. Dilan GörürMPI for Biological Cybernetics. -
The EM-EP Algorithm forGaussian Process Classification Hyun-Chul Kim� …
https://mlg.eng.cam.ac.uk/zoubin/papers/ecml03.pdf27 Jan 2023: Gatsby Computational Neuroscience Unit, UCL,London, WC1N 3AR, UK,. hckim,zoubin @gatsby.ucl.ac.uk,http://www.gatsby.ucl.ac.uk. Abstract. ... Finally, although improving computational complexity of GPC learning throughsparsification methods is an -
Variational Inference for the Indian Buffet Process Finale…
https://mlg.eng.cam.ac.uk/pub/pdf/DosMilVanTeh09.pdf13 Feb 2023: J. (2003). Variational algorithms for approximatebayesian inference. Doctoral dissertation, Gatsby Com-putational Neuroscience Unit, UCL. ... 2005). Infinite latent fea-ture models and the Indian buffet process. TR 2005-001,Gatsby Computational -
Optimization with EM and Expectation-Conjugate-Gradient
https://mlg.eng.cam.ac.uk/pub/pdf/SalRowGha03b.pdf13 Feb 2023: Zoubin Ghahramani ZOUBIN@GATSBY.UCL.AC.UKGatsby Computational Neuroscience Unit, University College London17 Queen Square, London WC1N 3AR, UK. -
BIOINFORMATICS ORIGINAL PAPER Vol. 21 no. 3 2005, pages ...
https://mlg.eng.cam.ac.uk/pub/pdf/BeaFalGha05a.pdf13 Feb 2023: dimen-sions may be due to the computational infeasibility of runningnumerous SSMs to cover the cloud of uncertainty in higherthan two dimensions. ... 453–464. Beal,M.J. (2003) Variational Algorithms for Approximate BayesianInference. PhD Thesis, Gatsby -
A Simple Bayesian Framework for Content-Based Image Retrieval…
https://mlg.eng.cam.ac.uk/zoubin/papers/HelGha06.pdf27 Jan 2023: Gatsby Computational Neuroscience Unit. University College London. heller@gatsby.ucl.ac.uk. Zoubin Ghahramani. Department of Engineering. ... We still have not described the specific model, p(x|θ),or addressed the issue of computational efficiency of com
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