John C. Platt

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Susan DumaisTechnical Fellow, Microsoft ResearchVerified email at microsoft.com
Eric HorvitzMicrosoftVerified email at microsoft.com
Alex SmolaBoson AIVerified email at smola.org
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
David HeckermanMicrosoft ResearchVerified email at microsoft.com
Christopher MeekPrinciple Researcher, Microsoft ResearchVerified email at microsoft.com
Robert C. WilliamsonUniversity of TübingenVerified email at uni-tuebingen.de
Patrice SimardMicrosoft ResearchVerified email at microsoft.com
Demetri TerzopoulosDistinguished Professor & Chancellor's Professor of Computer Science, UCLAVerified email at cs.ucla.edu
Li DengChief AI Officer, Citadel (former)Verified email at ieee.org
Mehran SahamiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Badrish ChandramouliMicrosoft ResearchVerified email at microsoft.com
Margaret MitchellResearch Scientist, Hugging FaceVerified email at huggingface.co
Nello CristianiniUniversity of BathVerified email at bath.ac.uk
Marti A HearstProfessor, University of California, BerkeleyVerified email at berkeley.edu
Alex AceroAppleVerified email at apple.com
Robert DeLinePrincipal Researcher, Microsoft ResearchVerified email at microsoft.com
Scott Wen-tau YihMeta FAIRVerified email at meta.com
Denny ZhouResearch Scientist, Google DeepMindVerified email at google.com

John C. Platt

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Machine learning Artificial Intelligence Energy


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Fast training of support vector machines using sequential minimal optimization JC Platt Advances in kernel methods, 185-208, 1999	9316	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	8920	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	8805	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	7552	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	6712	1998
Sequential minimal optimization: A fast algorithm for training support vector machines JC Platt Microsoft Research Technical Report, 1998	4543	1998
Best practices for convolutional neural networks applied to visual document analysis PY Simard, D Steinkraus, JC Platt ICDAR, 958, 2003	4115	2003
Elastically deformable models D Terzopoulos, J Platt, A Barr, K Fleischer Proceedings of the 14th annual conference on Computer graphics and …, 1987	3246	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	3192	1999
Large margin DAGs for multiclass classification J Platt, N Cristianini, J Shawe-Taylor Advances in neural information processing systems 12, 1999	2945	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	2483	1998
A resource-allocating network for function interpolation J Platt Neural computation 3 (2), 213-225, 1991	1884	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	1682	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	1142	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	1016	2000
Multiple instance boosting for object detection C Zhang, J Platt, P Viola Advances in neural information processing systems 18, 2005	992	2005
Auto playlist generation with multiple seed songs JC Platt US Patent 6,987,221, 2006	668	2006
Using analytic QP and sparseness to speed training of support vector machines J Platt Advances in neural information processing systems 11, 1998	593	1998
Suppressing quantum errors by scaling a surface code logical qubit Nature 614 (7949), 676-681, 2023	583	2023
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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