Radford Neal 个人学术档案 - 学术资源搜索

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Ian H. WittenProfessor of Computer Science, University of Waikato, New Zealand在 waikato.ac.nz 的电子邮件经过验证
Geoffrey HintonEmeritus Prof. Computer Science, University of Toronto在 cs.toronto.edu 的电子邮件经过验证
David MacKayProfessor of Natural Philosophy, Cavendish Laboratory, University of Cambridge在 mrao.cam.ac.uk 的电子邮件经过验证
Richard ZemelProfessor of Computer Science, University of Toronto在 cs.toronto.edu 的电子邮件经过验证
Sam Roweis (Memorial)New York University在 buffalo.edu 的电子邮件经过验证
Babak ShahbabaStatistics, University of California, Irvine在 uci.edu 的电子邮件经过验证
Brendan FreyFounder & CEO, Deep Genomics; Co-Founder, Vector Institute; Professor, University of Toronto在 psi.toronto.edu 的电子邮件经过验证
W.R. PeltierProfessor of Physics, University of Toronto在 atmosp.physics.utoronto.ca 的电子邮件经过验证
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, Google在 eng.cam.ac.uk 的电子邮件经过验证
Jennifer ListgartenProfessor, UC Berkeley EECS and Center for Computational Biology在 berkeley.edu 的电子邮件经过验证
Bradley P. CarlinPharmaLex - US在 counterpointstat.com 的电子邮件经过验证
Andrew GelmanProfessor of Statistics and Political Science, Columbia University在 stat.columbia.edu 的电子邮件经过验证
Alistair MoffatSchool of Computing and Information Systems, The University of Melbourne在 unimelb.edu.au 的电子邮件经过验证
Susan P HolmesProfessor of Statistics, Stanford University在 stat.stanford.edu 的电子邮件经过验证
Andrew EmiliBoston University (formerly University of Toronto)在 bu.edu 的电子邮件经过验证
Edward MeedsMicrosoft Research Cambridge在 microsoft.com 的电子邮件经过验证
Brian WyvillProfessor of Computer Science, University of Victoria, BC在 cs.uvic.ca 的电子邮件经过验证
Longhai LiUniversity of Saskatchewan, Saskatoon, SK, CANADA在 usask.ca 的电子邮件经过验证
Nicky BestProfessor of Statistics and Epidemiology, Imperial College London在 imperial.ac.uk 的电子邮件经过验证
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Radford Neal

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Bayesian inference Monte Carlo methods Information theory Machine learning Neural networks


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Bayesian learning for neural networks RM Neal Springer Science & Business Media, 1995	6655*	1995
Near Shannon limit performance of low density parity check codes DJC MacKay, RM Neal Electronics letters 33 (6), 457-458, 1997	5165	1997
Arithmetic coding for data compression IH Witten, RM Neal, JG Cleary Communications of the ACM 30 (6), 520-540, 1987	4537	1987
MCMC Using Hamiltonian Dynamics R Neal Handbook of Markov Chain Monte Carlo, 113-162, 2011	4150	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	3680	1998
Markov chain sampling methods for Dirichlet process mixture models RM Neal Journal of computational and graphical statistics 9 (2), 249-265, 2000	3230	2000
Slice sampling RM Neal Annals of statistics, 705-741, 2003	2832	2003
Probabilistic inference using Markov chain Monte Carlo methods RM Neal Department of Computer Science, University of Toronto, 1993	2383	1993
Annealed importance sampling RM Neal Statistics and computing 11, 125-139, 2001	1756	2001
The helmholtz machine P Dayan, GE Hinton, RM Neal, RS Zemel Neural computation 7 (5), 889-904, 1995	1698	1995
The" wake-sleep" algorithm for unsupervised neural networks GE Hinton, P Dayan, BJ Frey, RM Neal Science 268 (5214), 1158-1161, 1995	1543	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	896	1998
Arithmetic coding revisited A Moffat, RM Neal, IH Witten ACM Transactions on Information Systems (TOIS) 16 (3), 256-294, 1998	859	1998
Connectionist learning of belief networks RM Neal Artificial intelligence 56 (1), 71-113, 1992	758	1992
Good codes based on very sparse matrices DJC MacKay, RM Neal IMA International Conference on Cryptography and Coding, 100-111, 1995	714	1995
Regression and classification using Gaussian process priors RM Neal Bayesian Statistics 6, 1998	676*	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	618	2004
Monte Carlo implementation of Gaussian process models for Bayesian regression and classification RM Neal arXiv preprint physics/9701026, 1997	610	1997
Sampling from multimodal distributions using tempered transitions RM Neal Statistics and computing 6, 353-366, 1996	460	1996
Priors for infinite networks RM Neal	455	1994

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