Radford Neal

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

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Radford Neal

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

E-mailová adresa ověřena na: utstat.toronto.edu - Domovská stránka

Bayesian inference Monte Carlo methods Information theory Machine learning Neural networks


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
Bayesian learning for neural networks RM Neal Springer Science & Business Media, 1995	6801*	1995
Near Shannon limit performance of low density parity check codes DJC MacKay, RM Neal Electronics letters 33 (6), 457-458, 1997	5202	1997
Arithmetic coding for data compression IH Witten, RM Neal, JG Cleary Communications of the ACM 30 (6), 520-540, 1987	4566	1987
MCMC Using Hamiltonian Dynamics R Neal Handbook of Markov Chain Monte Carlo, 113-162, 2011	4334	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	3696	1998
Markov chain sampling methods for Dirichlet process mixture models RM Neal Journal of computational and graphical statistics 9 (2), 249-265, 2000	3251	2000
Slice sampling RM Neal Annals of statistics, 705-741, 2003	2873	2003
Probabilistic inference using Markov chain Monte Carlo methods RM Neal Department of Computer Science, University of Toronto, 1993	2405	1993
Annealed importance sampling RM Neal Statistics and computing 11, 125-139, 2001	1792	2001
The helmholtz machine P Dayan, GE Hinton, RM Neal, RS Zemel Neural computation 7 (5), 889-904, 1995	1727	1995
The" wake-sleep" algorithm for unsupervised neural networks GE Hinton, P Dayan, BJ Frey, RM Neal Science 268 (5214), 1158-1161, 1995	1562	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	910	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	767	1992
Good codes based on very sparse matrices DJC MacKay, RM Neal IMA International Conference on Cryptography and Coding, 100-111, 1995	719	1995
Regression and classification using Gaussian process priors RM Neal Bayesian Statistics 6, 1998	685*	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	623	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	480	1994
Sampling from multimodal distributions using tempered transitions RM Neal Statistics and computing 6, 353-366, 1996	462	1996

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