John C. Platt

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHAdresse e-mail validée de tuebingen.mpg.de
Susan DumaisTechnical Fellow, Microsoft ResearchAdresse e-mail validée de microsoft.com
Eric HorvitzMicrosoftAdresse e-mail validée de microsoft.com
Alex SmolaBoson AIAdresse e-mail validée de smola.org
David HeckermanMicrosoft ResearchAdresse e-mail validée de microsoft.com
Jack W. StokesMicrosoft ResearchAdresse e-mail validée de microsoft.com
John Shawe-TaylorUCLAdresse e-mail validée de cs.ucl.ac.uk
Christopher MeekPrinciple Researcher, Microsoft ResearchAdresse e-mail validée de microsoft.com
Robert C. WilliamsonUniversity of TübingenAdresse e-mail validée de uni-tuebingen.de
Patrice SimardMicrosoft ResearchAdresse e-mail validée de microsoft.com
Demetri TerzopoulosDistinguished Professor & Chancellor's Professor of Computer Science, UCLAAdresse e-mail validée de cs.ucla.edu
Li DengChief AI Officer, Citadel (former)Adresse e-mail validée de ieee.org
George ZweigAdresse e-mail validée de mit.edu
Mehran SahamiProfessor of Computer Science, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Sumit BasuSenior Principal Researcher, Microsoft ResearchAdresse e-mail validée de microsoft.com
Lynn H. KaackHertie SchoolAdresse e-mail validée de hertie-school.org
Evan D. SherwinLawrence Berkeley National LaboratoryAdresse e-mail validée de lbl.gov
David RolnickMcGill University, Mila Quebec AI InstituteAdresse e-mail validée de cs.mcgill.ca
Priya L. DontiAssistant Professor, MIT EECS & LIDS; Co-founder and Chair, Climate Change AIAdresse e-mail validée de mit.edu
Badrish ChandramouliMicrosoft ResearchAdresse e-mail validée de microsoft.com

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John C. Platt

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Machine learning Artificial Intelligence Energy


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Quantum supremacy using a programmable superconducting processor F Arute, K Arya, R Babbush, D Bacon, JC Bardin, R Barends, R Biswas, ... Nature 574 (7779), 505-510, 2019	9469	2019
Fast training of support vector machines using sequential minimal optimization JC Platt Advances in kernel methods, 185-208, 1999	9386	1999
Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods J Platt Advances in large margin classifiers 10 (3), 61-74, 1999	9142	1999
Estimating the support of a high-dimensional distribution B Schölkopf, JC Platt, J Shawe-Taylor, AJ Smola, RC Williamson Neural computation 13 (7), 1443-1471, 2001	7697	2001
Support vector machines MA Hearst, ST Dumais, E Osuna, J Platt, B Scholkopf IEEE Intelligent Systems and their applications 13 (4), 18-28, 1998	7232	1998
Sequential minimal optimization: A fast algorithm for training support vector machines J Platt	4625	1998
Best practices for convolutional neural networks applied to visual document analysis PY Simard, D Steinkraus, JC Platt ICDAR, 958, 2003	4172	2003
Support vector method for novelty detection B Schölkopf, RC Williamson, A Smola, J Shawe-Taylor, J Platt Advances in neural information processing systems 12, 1999	3309	1999
Elastically deformable models D Terzopoulos, J Platt, A Barr, K Fleischer Proceedings of the 14th annual conference on Computer graphics and …, 1987	3255	1987
Large margin DAGs for multiclass classification J Platt, N Cristianini, J Shawe-Taylor Advances in neural information processing systems 12, 1999	2938	1999
Inductive learning algorithms and representations for text categorization S Dumais, J Platt, D Heckerman, M Sahami Proceedings of the seventh international conference on Information and …, 1998	2457	1998
A resource-allocating network for function interpolation J Platt Neural computation 3 (2), 213-225, 1991	1882	1991
From captions to visual concepts and back H Fang, S Gupta, F Iandola, RK Srivastava, L Deng, P Dollár, J Gao, X He, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015	1704	2015
Tackling climate change with machine learning D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ... arXiv preprint arxiv:1906.05433, 2019	1307	2019
Technique which utilizes a probabilistic classifier to detect" junk" e-mail by automatically updating a training and re-training the classifier based on the updated training set E Horvitz, DE Heckerman, ST Dumais, M Sahami, JC Platt US Patent 6,161,130, 2000	1018	2000
Multiple instance boosting for object detection C Zhang, J Platt, P Viola Advances in neural information processing systems 18, 2005	1006	2005
Suppressing quantum errors by scaling a surface code logical qubit Nature 614 (7949), 676-681, 2023	720	2023
Auto playlist generation with multiple seed songs JC Platt US Patent 6,987,221, 2006	670	2006
Using analytic QP and sparseness to speed training of support vector machines J Platt Advances in neural information processing systems 11, 1998	591	1998
Constraint methods for flexible models JC Platt, AH Barr Proceedings of the 15th annual conference on Computer graphics and …, 1988	527	1988

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