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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. -
Correlated Non-Parametric Latent Feature Models Finale Doshi-Velez…
https://mlg.eng.cam.ac.uk/pub/pdf/DosGha09b.pdf13 Feb 2023: 2005). Infinite latent fea-ture models and the Indian buffet process. TR 2005-001,Gatsby Computational Neuroscience Unit. -
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 -
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. -
Bayesian Learning in Undirected Graphical Models:Approximate MCMC…
https://mlg.eng.cam.ac.uk/pub/pdf/MurGha04a.pdf13 Feb 2023: Bayesian Learning in Undirected Graphical Models:Approximate MCMC algorithms. Iain Murray and Zoubin GhahramaniGatsby Computational Neuroscience Unit. -
talk.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/nips00w.pdf27 Jan 2023: Online Variational Bayesian Learning. Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College London. -
https://mlg.eng.cam.ac.uk/news/index.xml
https://mlg.eng.cam.ac.uk/news/index.xml3 Jul 2024: Latest News | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/news/ Latest News Wowchemy (https://wowchemy.com) en-us Wed, 22 Mar 2023 00:00:00 0000 -
Curriculum Vitae Zoubin Ghahramani FRS CONTACT DETAILS Department:…
https://mlg.eng.cam.ac.uk/zoubin/fullcv.pdf27 Jan 2023: Reader in Machine Learning, Oct 2003–Jan 2006Gatsby Computational Neuroscience Unit, University College London, UK. ... Graduate Tutor, Gatsby Computational Neuroscience Unit, 2001-2005. Selection Committee, Chair in Computational Neuroscience, UCL, -
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. ... Y. Y. Figure 4: The computational cost of sampling fromthe model represented above will vary -
Unsupervised Learning A Belief Propagation Demo Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/course05/fluffy.pdf27 Jan 2023: Unsupervised Learning. A Belief Propagation Demo. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. -
Unsupervised Learning A Belief Propagation Demo Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/course04/fluffy.pdf27 Jan 2023: Unsupervised Learning. A Belief Propagation Demo. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. -
A Nonparametric Bayesian Approach toModeling Overlapping Clusters…
https://mlg.eng.cam.ac.uk/zoubin/papers/HelGha07over.pdf27 Jan 2023: A Nonparametric Bayesian Approach toModeling Overlapping Clusters. Katherine A. HellerGatsby Computational Neuroscience Unit. ... R. Neal. Markov chain sampling methods for Dirichletprocess mixture models. Journal of Computational andGraphical Statistics, -
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 -
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
https://mlg.eng.cam.ac.uk/pub/pdf/ZhuGhaLaf03a.pdf13 Feb 2023: Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, UK. ... For in-stance, obtaining a single labeled example for protein shapeclassification, which is one of the grand challenges of bio-logical and computational science, -
Nonparametric Transforms of Graph Kernelsfor Semi-Supervised Learning …
https://mlg.eng.cam.ac.uk/zoubin/papers/ZhuKanGhaLaf04.pdf27 Jan 2023: Nonparametric Transforms of Graph Kernelsfor Semi-Supervised Learning. Xiaojin Zhu † Jaz Kandola‡ Zoubin Ghahramani‡† John Lafferty †. †School of Computer Science ‡Gatsby Computational Neuroscience UnitCarnegie Mellon University -
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 -
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 -
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. ... The computational representation for the slice sam-pler consists of the slice variables and the firstK† features:〈s, K, K†, -
Statistical Models for Partial Membership Katherine A. Heller…
https://mlg.eng.cam.ac.uk/pub/pdf/HelWilGha08.pdf13 Feb 2023: Gatsby Computational Neuroscience Unit. Heller, K., & Ghahramani, Z. (2007). A nonparamet-ric bayesian approach to modeling overlapping clusters.AISTATS. -
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 -
uai2006.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/WooGriGha06a.pdf13 Feb 2023: Acknowledgments. This work was supported by NIH-NINDS R01 NS50967-01 as part of the NSF/NIH Collaborative Re-search in Computational Neuroscience Program. ... 2, pp.1152–1174, 1974. [9] R. M. Neal, “Markov chain sampling methodsfor Dirichlet process -
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. -
rszg2006.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/SilGha06.pdf27 Jan 2023: Bayesian Inference for Gaussian Mixed Graph Models. Ricardo Silva. Gatsby Computational Neuroscience UnitUniversity College Londonrbas@gatsby.ucl.ac.uk. ... Y. Y. Figure 4: The computational cost of sampling fromthe model represented above will vary -
Bayesian Learning in Undirected Graphical Models:Approximate MCMC…
https://mlg.eng.cam.ac.uk/zoubin/papers/uai04murray.pdf27 Jan 2023: Bayesian Learning in Undirected Graphical Models:Approximate MCMC algorithms. Iain Murray and Zoubin GhahramaniGatsby Computational Neuroscience Unit. -
Unsupervised Learning Propagation on Factor Graphs Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/course05/factorprop.pdf27 Jan 2023: Unsupervised Learning. Propagation on Factor Graphs. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. -
/users/joe/src/tops/dvips
https://mlg.eng.cam.ac.uk/pub/pdf/UedNakGha00a.pdf13 Feb 2023: Zoubin GhahramaniGeoffrey E. HintonGatsby Computational Neuroscience Unit, University College London, London WC1N3AR, U.K. -
Beam Sampling for the Infinite Hidden Markov Model Jurgen ...
https://mlg.eng.cam.ac.uk/pub/pdf/VanSaaTehGha08.pdf13 Feb 2023: Yee Whye Teh ywteh@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, WC1N 3AR, UK. ... αβkβst1 if k = K 1. For each 1 t T we need to compute O(K)probabilities, hence the Gibbs sampler has an O(TK)computational -
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 -
On the Convergence of Bound Optimization Algorithms Ruslan…
https://mlg.eng.cam.ac.uk/pub/pdf/SalRowGha03a.pdf13 Feb 2023: rsalakhu,roweis@cs.toronto.edu. Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College London17 Queen Square, London WC1N 3AR, UK. -
A New Approach to Data Driven Clustering Arik Azran ...
https://mlg.eng.cam.ac.uk/zoubin/papers/AzrGhaICML06.pdf27 Jan 2023: A New Approach to Data Driven Clustering. Arik Azran arik@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, WC1N 3AR, UK. -
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 -
A Graphical Model for Protein Secondary Structure Prediction Wei ...
https://mlg.eng.cam.ac.uk/pub/pdf/ChuGhaWil04a.pdf13 Feb 2023: Gatsby Computational Neuroscience Unit, University College London, London, WC1N 3AR, UK. ... L. (2000).Bayesian segmentation of protein secondary structure.Journal of Computational Biology, 7, 233–248. -
gmpssp.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/icml103.pdf27 Jan 2023: A Graphical Model for Protein Secondary Structure Prediction. Wei Chu chuwei@gatsby.ucl.ac.ukZoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, London, WC1N 3AR, UK. ... L. (2000).Bayesian -
aistats2007-ibpsb.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/TehGorGha07.pdf27 Jan 2023: Stick-breaking Construction for the Indian Buffet Process. Yee Whye TehGatsby Computational Neuroscience Unit. ... The computational representation for the slice sam-pler consists of the slice variables and the firstK† features:〈s, K, K†, -
Nested sampling for Potts models Iain MurrayGatsby Computational…
https://mlg.eng.cam.ac.uk/zoubin/papers/nips05nested.pdf27 Jan 2023: Nested sampling for Potts models. Iain MurrayGatsby Computational Neuroscience Unit. University College Londoni.murray@gatsby.ucl.ac.uk. ... David J.C. MacKayCavendish Laboratory. University of Cambridgemackay@mrao.cam.ac.uk. Zoubin GhahramaniGatsby -
Variable noise and dimensionality reduction forsparse Gaussian…
https://mlg.eng.cam.ac.uk/zoubin/papers/snelson_uai.pdf27 Jan 2023: Variable noise and dimensionality reduction forsparse Gaussian processes. Edward SnelsonGatsby Computational Neuroscience Unit. ... The computational efficiencyarises because the covariance KSPGPN consists of a sumof a low rank part and a diagonal part, -
Local and global sparse Gaussian process approximations Edward…
https://mlg.eng.cam.ac.uk/zoubin/papers/aistats07localGP.pdf27 Jan 2023: Local and global sparse Gaussian process approximations. Edward SnelsonGatsby Computational Neuroscience Unit. ... P. Preparata and M. Shamos. Computational Geometry:An Introduction. Springer-Verlag, 1985. J. -
Statistical Models for Partial Membership Katherine A. Heller…
https://mlg.eng.cam.ac.uk/zoubin/papers/HelWilGha08.pdf27 Jan 2023: Gatsby Computational Neuroscience Unit. Heller, K., & Ghahramani, Z. (2007). A nonparamet-ric bayesian approach to modeling overlapping clusters.AISTATS. -
Beam Sampling for the Infinite Hidden Markov Model Jurgen ...
https://mlg.eng.cam.ac.uk/zoubin/papers/icml2008ihmm.pdf27 Jan 2023: Yee Whye Teh ywteh@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, WC1N 3AR, UK. ... αβkβst1 if k = K 1. For each 1 t T we need to compute O(K)probabilities, hence the Gibbs sampler has an O(TK)computational -
Bayesian Hierarchical Clustering Katherine A. Heller…
https://mlg.eng.cam.ac.uk/zoubin/papers/icml05heller.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, UCL, London, WC1N 3AR, UK. ... Gatsby Computa-tional Neuroscience Unit. Kemp, C., Griffiths, -
Spectral Methods for Automatic Multiscale Data Clustering Arik…
https://mlg.eng.cam.ac.uk/zoubin/papers/AzrGhaCVPR06.pdf27 Jan 2023: Spectral Methods for Automatic Multiscale Data Clustering. Arik AzranGatsby Computational Neuroscience Unit. ... This is translated to easier computational tasks. Input: Data set S.Output: A directed tree T, each leaf contains all the pointsin the -
Bayesian Monte Carlo Carl Edward RasmussenandZoubin GhahramaniGatsby…
https://mlg.eng.cam.ac.uk/pub/pdf/RasGha03.pdf13 Feb 2023: Bayesian Monte Carlo. Carl Edward RasmussenandZoubin GhahramaniGatsby Computational Neuroscience Unit. University College London17 Queen Square, London WC1N 3AR, England. ... 102, Novem-ber 1988, Laboratory for Computational Statistics, Department of -
book
https://mlg.eng.cam.ac.uk/zoubin/papers/CGM.pdf27 Jan 2023: 2006/06/19 14:19. 1 Conditional Graphical Models. Fernando Pérez-Cruz. Gatsby Computational Neuroscience Unit. ... This simplification allows solving the multi-classification tractablyboth in the needed computational power and in the training sample -
Görür D, Rasmussen CE. Dirichlet process Gaussian mixture models:…
https://mlg.eng.cam.ac.uk/pub/pdf/GoeRas10.pdf13 Feb 2023: 1Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, U.K.2Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, U.K.3Max Planck Institute for Biological Cybernetics, D-72076 ... We use the convergence and -
Latent-Space Variational Bayes Jaemo Sung, Student Member,…
https://mlg.eng.cam.ac.uk/pub/pdf/SunGhaBan08.pdf13 Feb 2023: confirmed the useful behaviors of the proposed FoLSVB over the. standard VBEM with the same computational cost such as faster. ... Machine LearningResearch, vol. 6, pp. 661-694, 2005. [19] M.J. Beal, “Variational Algorithms for Approximate Bayesian -
book
https://mlg.eng.cam.ac.uk/pub/pdf/PerGhaPon07.pdf13 Feb 2023: 2006/06/19 14:19. 1 Conditional Graphical Models. Fernando Pérez-Cruz. Gatsby Computational Neuroscience Unit. ... This simplification allows solving the multi-classification tractablyboth in the needed computational power and in the training sample -
uai2006.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/Wood-UAI-2006.pdf27 Jan 2023: Acknowledgments. This work was supported by NIH-NINDS R01 NS50967-01 as part of the NSF/NIH Collaborative Re-search in Computational Neuroscience Program. ... 2, pp.1152–1174, 1974. [9] R. M. Neal, “Markov chain sampling methodsfor Dirichlet process -
Perfusion Quantification Using Gaussian ProcessDeconvolution I.K.…
https://mlg.eng.cam.ac.uk/pub/pdf/AndSzyRasetal02.pdf13 Feb 2023: 1Informatics and Mathematical Modeling, Technical University of Denmark,Lyngby, Denmark.2Danish Research Center for Magnetic Resonance, Hvidovre Hospital,Hvidovre, Denmark.3Gatsby Computational Neuroscience Unit, University College, London, UK.4MR -
BIOINFORMATICS ORIGINAL PAPER Vol. 21 no. 3 2005, pages ...
https://mlg.eng.cam.ac.uk/zoubin/papers/Bioinformatics05beal.pdf27 Jan 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 -
gppl.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/icml05chuwei-pl.pdf27 Jan 2023: Preference Learning with Gaussian Processes. Wei Chu chuwei@gatsby.ucl.ac.ukZoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, London, WC1N 3AR, UK. ... 2004). Gaussian processes forordinal
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