David MacKay

Citée par

	Toutes	Depuis 2020
Citations	81357	18003
indice h	76	47
indice i10	171	76

3800

1900

950

2850

1992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022202320242025210 250 337 409 448 519 734 767 885 1208 1223 1601 2033 2457 2800 3136 3219 3460 3632 3574 3651 3735 3569 3217 3381 3253 3441 3480 3673 3750 3686 3400 3175 319

Accès public

Tout afficher

3 articles

0 article

disponibles

non disponibles

Sur la base des exigences liées au financement

Coauteurs

H. K. D. H. BhadeshiaProfessor of Metallurgy, Queen Mary University of LondonAdresse e-mail validée de qmul.ac.uk
Iain MurraySchool of Informatics, University of EdinburghAdresse e-mail validée de ed.ac.uk
Ryan P. AdamsPrinceton UniversityAdresse e-mail validée de princeton.edu
Radford NealU Toronto *** GOOGLE SCHOLAR CAN GIVE WRONG PUBLICATION DATE/REFERENCE - LOOK AT ACTUAL PAPER/BOOK!Adresse e-mail validée de utstat.toronto.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleAdresse e-mail validée de eng.cam.ac.uk
Alan BlackwellProfessor of Interdisciplinary Design, University of CambridgeAdresse e-mail validée de cam.ac.uk
Brendan FreyFounder & CEO, Deep Genomics; Co-Founder, Vector Institute; Professor, University of TorontoAdresse e-mail validée de psi.toronto.edu
Kenneth D. MillerPeter Taylor Professor of Neuroscience, Columbia UniversityAdresse e-mail validée de columbia.edu
Oliver StegleGerman Cancer Research Center (DKFZ) & EMBL HeidelbergAdresse e-mail validée de dkfz.de
Philip John WithersUniversity of ManchesterAdresse e-mail validée de manchester.ac.uk
Tony RobinsonSpeechmaticsAdresse e-mail validée de tonyRobinson.com
John Paulin HansenProfessor, Technical University of DenmarkAdresse e-mail validée de dtu.dk
Keith VertanenAssociate Professor, Michigan Technological UniversityAdresse e-mail validée de mtu.edu
Thore GraepelGlobal Lead Computational Science, AI & ML at Altos Labs and Chair of Machine Learning, UCLAdresse e-mail validée de ucl.ac.uk
Andrew M. ChildsJoint Center for Quantum Information and Computer Science, University of MarylandAdresse e-mail validée de umd.edu
Dan Witzner HansenProfessor, IT University of CopenhagenAdresse e-mail validée de itu.dk
Robert MacKayProfessor of Mathematics, University of WarwickAdresse e-mail validée de warwick.ac.uk

Suivre

David MacKay

Professor of Natural Philosophy, Cavendish Laboratory, University of Cambridge

Adresse e-mail validée de mrao.cam.ac.uk - Page d'accueil

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


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Information theory, inference and learning algorithms DJC MacKay Cambridge university press, 2003	15398	2003
Information theory and reliable communication RG Gallager Wiley, 1968	10472	1968
Bayesian interpolation DJC MacKay Neural computation 4 (3), 415-447, 1992	6088	1992
Good error-correcting codes based on very sparse matrices DJC MacKay IEEE transactions on Information Theory 45 (2), 399-431, 1999	5920	1999
Near Shannon limit performance of low density parity check codes DJC MacKay, RM Neal Electronics letters 33 (6), 457-458, 1997	5272	1997
A practical Bayesian framework for backpropagation networks DJC MacKay Neural computation 4 (3), 448-472, 1992	4205	1992
Sustainable Energy-without the hot air DJC MacKay Bloomsbury Publishing, 2016	2655	2016
Low density parity check codes over GF (q) MC Davey, DJC MacKay 1998 Information Theory Workshop (Cat. No. 98EX131), 70-71, 1998	1799	1998
Information-based objective functions for active data selection DJC MacKay Neural computation 4 (4), 590-604, 1992	1777	1992
Fountain codes DJC MacKay IEE Proceedings-Communications 152 (6), 1062-1068, 2005	1659	2005
Introduction to Gaussian processes DJC MacKay NATO ASI series F computer and systems sciences 168, 133-166, 1998	1459	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	1316	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	1263	1998
Bayesian online changepoint detection RP Adams, DJC MacKay arXiv preprint arXiv:0710.3742, 2007	1127	2007
Bayesian methods for adaptive models DJC Mackay California Institute of Technology, 1992	1110	1992
The evidence framework applied to classification networks DJC MacKay Neural computation 4 (5), 720-736, 1992	1034	1992
Introduction to monte carlo methods DJC Mackay Learning in graphical models, 175-204, 1998	779	1998
Good codes based on very sparse matrices DJC MacKay, RM Neal IMA International Conference on Cryptography and Coding, 100-111, 1995	722	1995
Bayesian nonlinear modeling for the prediction competition DJC MacKay ASHRAE transactions 100 (2), 1053-1062, 1994	670	1994
The role of constraints in Hebbian learning KD Miller, DJC MacKay Neural computation 6 (1), 100-126, 1994	625	1994

Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.

Articles 1–20

Nombre de citations par an

Citations en double

Citations fusionnées

Ajouter les coauteursCoauteurs

Suivre

Citée par

Coauteurs