Radford Neal

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Ian H. WittenProfessor of Computer Science, University of Waikato, New ZealandPatvirtintas el. paštas waikato.ac.nz
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoPatvirtintas el. paštas cs.toronto.edu
David MacKayProfessor of Natural Philosophy, Cavendish Laboratory, University of CambridgePatvirtintas el. paštas mrao.cam.ac.uk
Richard ZemelProfessor of Computer Science, University of TorontoPatvirtintas el. paštas cs.toronto.edu
Sam Roweis (Memorial)New York UniversityPatvirtintas el. paštas buffalo.edu
W.R. PeltierProfessor of Physics, University of TorontoPatvirtintas el. paštas atmosp.physics.utoronto.ca
Brendan FreyFounder & CEO, Deep Genomics; Co-Founder, Vector Institute; Professor, University of TorontoPatvirtintas el. paštas psi.toronto.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GooglePatvirtintas el. paštas eng.cam.ac.uk
Jennifer ListgartenProfessor, UC Berkeley EECS and Center for Computational BiologyPatvirtintas el. paštas berkeley.edu
Bradley P. CarlinPharmaLex - USPatvirtintas el. paštas counterpointstat.com
Andrew GelmanProfessor of Statistics and Political Science, Columbia UniversityPatvirtintas el. paštas stat.columbia.edu
Alistair MoffatSchool of Computing and Information Systems, The University of MelbournePatvirtintas el. paštas unimelb.edu.au
Susan P HolmesProfessor of Statistics, Stanford UniversityPatvirtintas el. paštas stat.stanford.edu
Edward MeedsMicrosoft Research CambridgePatvirtintas el. paštas microsoft.com
Brian WyvillProfessor of Computer Science, University of Victoria, BCPatvirtintas el. paštas cs.uvic.ca
Longhai LiUniversity of Saskatchewan, Saskatoon, SK, CANADAPatvirtintas el. paštas usask.ca
Nicky BestProfessor of Statistics and Epidemiology, Imperial College LondonPatvirtintas el. paštas imperial.ac.uk
Matthew J. BealChicago Trading CompanyPatvirtintas el. paštas chicagotrading.com
Celia M.T. GreenwoodSenior Investigator, Lady Davis InstitutePatvirtintas el. paštas mcgill.ca
Shuying SunTexas State UniversityPatvirtintas el. paštas txstate.edu

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Radford Neal

U Toronto *** GOOGLE SCHOLAR CAN GIVE WRONG PUBLICATION DATE/REFERENCE - LOOK AT ACTUAL PAPER/BOOK!

Patvirtintas el. paštas utstat.toronto.edu - Pagrindinis puslapis

Bayesian inference Monte Carlo methods Information theory Machine learning Neural networks


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Bayesian learning for neural networks RM Neal Springer Science & Business Media, 1995	6818*	1995
Near Shannon limit performance of low density parity check codes DJC MacKay, RM Neal Electronics letters 33 (6), 457-458, 1997	5211	1997
Arithmetic coding for data compression IH Witten, RM Neal, JG Cleary Communications of the ACM 30 (6), 520-540, 1987	4575	1987
MCMC Using Hamiltonian Dynamics R Neal Handbook of Markov Chain Monte Carlo, 113-162, 2011	4357	2011
A view of the EM algorithm that justifies incremental, sparse, and other variants RM Neal, GE Hinton Learning in graphical models, 355-368, 1998	3701	1998
Markov chain sampling methods for Dirichlet process mixture models RM Neal Journal of computational and graphical statistics 9 (2), 249-265, 2000	3255	2000
Slice sampling RM Neal Annals of statistics, 705-741, 2003	2880	2003
Probabilistic inference using Markov chain Monte Carlo methods RM Neal Department of Computer Science, University of Toronto, 1993	2406	1993
Annealed importance sampling RM Neal Statistics and computing 11, 125-139, 2001	1800	2001
The helmholtz machine P Dayan, GE Hinton, RM Neal, RS Zemel Neural computation 7 (5), 889-904, 1995	1733	1995
The" wake-sleep" algorithm for unsupervised neural networks GE Hinton, P Dayan, BJ Frey, RM Neal Science 268 (5214), 1158-1161, 1995	1564	1995
Markov chain Monte Carlo in practice: a roundtable discussion RE Kass, BP Carlin, A Gelman, RM Neal The American Statistician 52 (2), 93-100, 1998	912	1998
Arithmetic coding revisited A Moffat, RM Neal, IH Witten ACM Transactions on Information Systems (TOIS) 16 (3), 256-294, 1998	863	1998
Connectionist learning of belief networks RM Neal Artificial intelligence 56 (1), 71-113, 1992	771	1992
Good codes based on very sparse matrices DJC MacKay, RM Neal IMA International Conference on Cryptography and Coding, 100-111, 1995	718	1995
Regression and classification using Gaussian process priors RM Neal Bayesian Statistics 6, 1998	686*	1998
A split-merge Markov chain Monte Carlo procedure for the Dirichlet process mixture model S Jain, RM Neal Journal of Computational and Graphical Statistics, 2004	624	2004
Monte Carlo implementation of Gaussian process models for Bayesian regression and classification RM Neal arXiv preprint physics/9701026, 1997	623	1997
Priors for infinite networks RM Neal	483	1994
Sampling from multimodal distributions using tempered transitions RM Neal Statistics and computing 6, 353-366, 1996	464	1996

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