John C. Platt

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHDirección de correo verificada de tuebingen.mpg.de
Susan DumaisTechnical Fellow, Microsoft ResearchDirección de correo verificada de microsoft.com
Eric HorvitzMicrosoftDirección de correo verificada de microsoft.com
Alex SmolaBoson AIDirección de correo verificada de smola.org
John Shawe-TaylorUCLDirección de correo verificada de cs.ucl.ac.uk
David HeckermanMicrosoft ResearchDirección de correo verificada de microsoft.com
Jack W. StokesMicrosoft ResearchDirección de correo verificada de microsoft.com
Christopher MeekPrinciple Researcher, Microsoft ResearchDirección de correo verificada de microsoft.com
Robert C. WilliamsonUniversity of TübingenDirección de correo verificada de uni-tuebingen.de
Patrice SimardMicrosoft ResearchDirección de correo verificada de microsoft.com
Demetri TerzopoulosDistinguished Professor & Chancellor's Professor of Computer Science, UCLADirección de correo verificada de cs.ucla.edu
Li DengChief AI Officer, Citadel (former)Dirección de correo verificada de ieee.org
George ZweigDirección de correo verificada de mit.edu
Mehran SahamiProfessor of Computer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Sumit BasuSenior Principal Researcher, Microsoft ResearchDirección de correo verificada de microsoft.com
Badrish ChandramouliMicrosoft ResearchDirección de correo verificada de microsoft.com
Margaret MitchellResearch Scientist, Hugging FaceDirección de correo verificada de huggingface.co
Marti A HearstProfessor, University of California, BerkeleyDirección de correo verificada de berkeley.edu
Nello CristianiniUniversity of BathDirección de correo verificada de bath.ac.uk
Alex AceroAppleDirección de correo verificada de apple.com

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John C. Platt

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Machine learning Artificial Intelligence Energy


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Fast training of support vector machines using sequential minimal optimization JC Platt Advances in kernel methods, 185-208, 1999	9335	1999
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	9159	2019
Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods J Platt Advances in large margin classifiers 10 (3), 61-74, 1999	8883	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	7620	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	6901	1998
Sequential minimal optimization: A fast algorithm for training support vector machines J Platt	4567	1998
Best practices for convolutional neural networks applied to visual document analysis PY Simard, D Steinkraus, JC Platt ICDAR, 958, 2003	4131	2003
Elastically deformable models D Terzopoulos, J Platt, A Barr, K Fleischer Proceedings of the 14th annual conference on Computer graphics and …, 1987	3252	1987
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	3242	1999
Large margin DAGs for multiclass classification J Platt, N Cristianini, J Shawe-Taylor Advances in neural information processing systems 12, 1999	2947	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	2490	1998
A resource-allocating network for function interpolation J Platt Neural computation 3 (2), 213-225, 1991	1886	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	1697	2015
Tackling climate change with machine learning D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ... ACM Computing Surveys (CSUR) 55 (2), 1-96, 2022	1194	2022
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	1017	2000
Multiple instance boosting for object detection C Zhang, J Platt, P Viola Advances in neural information processing systems 18, 2005	995	2005
Auto playlist generation with multiple seed songs JC Platt US Patent 6,987,221, 2006	669	2006
Suppressing quantum errors by scaling a surface code logical qubit Nature 614 (7949), 676-681, 2023	633	2023
Using analytic QP and sparseness to speed training of support vector machines J Platt Advances in neural information processing systems 11, 1998	593	1998
Constraint methods for flexible models JC Platt, AH Barr Proceedings of the 15th annual conference on Computer graphics and …, 1988	529	1988

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