David MacKay

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H. K. D. H. BhadeshiaProfessor of Metallurgy, Queen Mary University of LondonAdresă de e-mail confirmată pe qmul.ac.uk
Iain MurraySchool of Informatics, University of Edinburgh and AmazonAdresă de e-mail confirmată pe ed.ac.uk
Radford NealU Toronto *** GOOGLE SCHOLAR CAN GIVE WRONG PUBLICATION DATE/REFERENCE - LOOK AT ACTUAL PAPER/BOOK!Adresă de e-mail confirmată pe utstat.toronto.edu
Ryan P. AdamsPrinceton UniversityAdresă de e-mail confirmată pe princeton.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleAdresă de e-mail confirmată pe eng.cam.ac.uk
Alan BlackwellProfessor of Interdisciplinary Design, University of CambridgeAdresă de e-mail confirmată pe cam.ac.uk
Brendan FreyFounder & CEO, Deep Genomics; Co-Founder, Vector Institute; Professor, University of TorontoAdresă de e-mail confirmată pe psi.toronto.edu
Kenneth D. MillerProfessor of Neuroscience, Columbia UniversityAdresă de e-mail confirmată pe columbia.edu
Oliver StegleGerman Cancer Research Center (DKFZ) & EMBL HeidelbergAdresă de e-mail confirmată pe dkfz.de
Philip John WithersUniversity of ManchesterAdresă de e-mail confirmată pe manchester.ac.uk
Tony RobinsonSpeechmatics (Cantab Research Limited)Adresă de e-mail confirmată pe tonyRobinson.com
John Paulin HansenProfessor, Technical University of DenmarkAdresă de e-mail confirmată pe dtu.dk
Keith VertanenAssociate Professor, Michigan Technological UniversityAdresă de e-mail confirmată pe mtu.edu
Thore GraepelGlobal Lead Computational Science, AI & ML at Altos Labs and Chair of Machine Learning, UCLAdresă de e-mail confirmată pe ucl.ac.uk
Dan Witzner HansenProfessor, IT University of CopenhagenAdresă de e-mail confirmată pe itu.dk
Andrew M. ChildsJoint Center for Quantum Information and Computer Science, University of MarylandAdresă de e-mail confirmată pe umd.edu
Robert MacKayProfessor of Mathematics, University of WarwickAdresă de e-mail confirmată pe warwick.ac.uk

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David MacKay

Professor of Natural Philosophy, Cavendish Laboratory, University of Cambridge

Adresă de e-mail confirmată pe mrao.cam.ac.uk - Pagina de pornire

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


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Information theory, inference and learning algorithms DJC MacKay Cambridge university press, 2003	14185	2003
Information theory and reliable communication RG Gallager Wiley, 1968	10297	1968
Bayesian interpolation DJC MacKay Neural computation 4 (3), 415-447, 1992	5729	1992
Good error-correcting codes based on very sparse matrices DJC MacKay IEEE transactions on Information Theory 45 (2), 399-431, 1999	5688	1999
Near Shannon limit performance of low density parity check codes DJC MacKay, RM Neal Electronics letters 33 (6), 457-458, 1997	5082	1997
A practical Bayesian framework for backpropagation networks DJC MacKay Neural computation 4 (3), 448-472, 1992	3791	1992
Sustainable Energy-without the hot air DJC MacKay Bloomsbury Publishing, 2016	2533	2016
Low density parity check codes over GF (q) MC Davey, DJC MacKay 1998 Information Theory Workshop (Cat. No. 98EX131), 70-71, 1998	1742	1998
Information-based objective functions for active data selection DJC MacKay Neural computation 4 (4), 590-604, 1992	1663	1992
Fountain codes DJC MacKay IEE Proceedings-Communications 152 (6), 1062-1068, 2005	1535	2005
Introduction to Gaussian processes DJC MacKay NATO ASI series F computer and systems sciences 168, 133-166, 1998	1297	1998
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	1247	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	1243	1995
Bayesian methods for adaptive models DJC Mackay California Institute of Technology, 1992	1035	1992
The evidence framework applied to classification networks DJC MacKay Neural computation 4 (5), 720-736, 1992	987	1992
Bayesian online changepoint detection RP Adams, DJC MacKay arXiv preprint arXiv:0710.3742, 2007	941	2007
Introduction to monte carlo methods DJC Mackay Learning in graphical models, 175-204, 1998	755	1998
Good codes based on very sparse matrices DJC MacKay, RM Neal IMA International Conference on Cryptography and Coding, 100-111, 1995	706	1995
Bayesian nonlinear modeling for the prediction competition DJC MacKay ASHRAE transactions 100 (2), 1053-1062, 1994	636	1994
The role of constraints in Hebbian learning KD Miller, DJC MacKay Neural computation 6 (1), 100-126, 1994	589	1994

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