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H. K. D. H. BhadeshiaProfessor of Metallurgy, Queen Mary University of London在 qmul.ac.uk 的电子邮件经过验证
Iain MurraySchool of Informatics, University of Edinburgh and Amazon在 ed.ac.uk 的电子邮件经过验证
Ryan P. AdamsPrinceton University在 princeton.edu 的电子邮件经过验证
Radford NealU Toronto *** GOOGLE SCHOLAR CAN GIVE WRONG PUBLICATION DATE/REFERENCE - LOOK AT ACTUAL PAPER/BOOK!在 utstat.toronto.edu 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
Alan BlackwellProfessor of Interdisciplinary Design, University of Cambridge在 cam.ac.uk 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
Kenneth D. MillerProfessor of Neuroscience, Columbia University在 columbia.edu 的电子邮件经过验证
Oliver StegleGerman Cancer Research Center (DKFZ) & EMBL Heidelberg在 dkfz.de 的电子邮件经过验证
Philip John WithersUniversity of Manchester在 manchester.ac.uk 的电子邮件经过验证
Tony RobinsonSpeechmatics (Cantab Research Limited)在 tonyRobinson.com 的电子邮件经过验证
John Paulin HansenProfessor, Technical University of Denmark在 dtu.dk 的电子邮件经过验证
Keith VertanenAssociate Professor, Michigan Technological University在 mtu.edu 的电子邮件经过验证
Thore GraepelGlobal Lead Computational Science, AI & ML at Altos Labs and Chair of Machine Learning, UCL在 ucl.ac.uk 的电子邮件经过验证
Andrew M. ChildsJoint Center for Quantum Information and Computer Science, University of Maryland在 umd.edu 的电子邮件经过验证
Dan Witzner HansenProfessor, IT University of Copenhagen在 itu.dk 的电子邮件经过验证
Robert MacKayProfessor of Mathematics, University of Warwick在 warwick.ac.uk 的电子邮件经过验证

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David MacKay

Professor of Natural Philosophy, Cavendish Laboratory, University of Cambridge

在 mrao.cam.ac.uk 的电子邮件经过验证 - 首页

Information Theory and Error-correcting Codes Reliable Computation with Unreliable Hardware Machine Learning and Bayesian Data Modelling Sustainable Energy and Public Understanding of Science


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
Information theory, inference and learning algorithms DJC MacKay Cambridge university press, 2003	14745	2003
Information theory and reliable communication RG Gallager Wiley, 1968	10379	1968
Bayesian interpolation DJC MacKay Neural computation 4 (3), 415-447, 1992	5905	1992
Good error-correcting codes based on very sparse matrices DJC MacKay IEEE transactions on Information Theory 45 (2), 399-431, 1999	5851	1999
Near Shannon limit performance of low density parity check codes DJC MacKay, RM Neal Electronics letters 33 (6), 457-458, 1997	5165	1997
A practical Bayesian framework for backpropagation networks DJC MacKay Neural computation 4 (3), 448-472, 1992	3987	1992
Sustainable Energy-without the hot air DJC MacKay Bloomsbury Publishing, 2016	2581	2016
Low density parity check codes over GF (q) MC Davey, DJC MacKay 1998 Information Theory Workshop (Cat. No. 98EX131), 70-71, 1998	1776	1998
Information-based objective functions for active data selection DJC MacKay Neural computation 4 (4), 590-604, 1992	1703	1992
Fountain codes DJC MacKay IEE Proceedings-Communications 152 (6), 1062-1068, 2005	1635	2005
Introduction to Gaussian processes DJC MacKay NATO ASI series F computer and systems sciences 168, 133-166, 1998	1367	1998
Probable networks and plausible predictions-a review of practical Bayesian methods for supervised neural networks DJC MacKay Network: computation in neural systems 6 (3), 469, 1995	1284	1995
Turbo decoding as an instance of Pearl's" belief propagation" algorithm RJ McEliece, DJC MacKay, JF Cheng IEEE Journal on selected areas in communications 16 (2), 140-152, 1998	1256	1998
Bayesian methods for adaptive models DJC Mackay California Institute of Technology, 1992	1060	1992
Bayesian online changepoint detection RP Adams, DJC MacKay arXiv preprint arXiv:0710.3742, 2007	1030	2007
The evidence framework applied to classification networks DJC MacKay Neural computation 4 (5), 720-736, 1992	1016	1992
Introduction to monte carlo methods DJC Mackay Learning in graphical models, 175-204, 1998	765	1998
Good codes based on very sparse matrices DJC MacKay, RM Neal IMA International Conference on Cryptography and Coding, 100-111, 1995	714	1995
Bayesian nonlinear modeling for the prediction competition DJC MacKay ASHRAE transactions 100 (2), 1053-1062, 1994	649	1994
The role of constraints in Hebbian learning KD Miller, DJC MacKay Neural computation 6 (1), 100-126, 1994	599	1994

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