| Fast training of support vector machines using sequential minimal optimization JC Platt Advances in kernel methods, 185-208, 1999 | 9250 | 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 | 8433 | 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 | 7864 | 2019 |
| 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 | 7231 | 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 | 6056 | 1998 |
| Sequential minimal optimization: A fast algorithm for training support vector machines J Platt | 4406 | 1998 |
| Best practices for convolutional neural networks applied to visual document analysis PY Simard, D Steinkraus, JC Platt ICDAR, 958, 2003 | 3966 | 2003 |
| Elastically deformable models D Terzopoulos, J Platt, A Barr, K Fleischer Proceedings of the 14th annual conference on Computer graphics and …, 1987 | 3221 | 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 | 2979 | 1999 |
| Large margin DAGs for multiclass classification J Platt, N Cristianini, J Shawe-Taylor Advances in neural information processing systems 12, 1999 | 2923 | 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 | 2446 | 1998 |
| A resource-allocating network for function interpolation J Platt Neural computation 3 (2), 213-225, 1991 | 1861 | 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 | 1625 | 2015 |
| 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 | 1014 | 2000 |
| Multiple instance boosting for object detection C Zhang, J Platt, P Viola Advances in neural information processing systems 18, 2005 | 983 | 2005 |
| 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 | 927 | 2022 |
| Auto playlist generation with multiple seed songs JC Platt US Patent 6,987,221, 2006 | 654 | 2006 |
| Using analytic QP and sparseness to speed training of support vector machines J Platt Advances in neural information processing systems 11, 1998 | 590 | 1998 |
| Constraint methods for flexible models JC Platt, AH Barr Proceedings of the 15th annual conference on Computer graphics and …, 1988 | 533 | 1988 |
| Object position detector RR Schediwy, JO Pritchard, T Kao, TP Allen, JC Platt US Patent 5,861,583, 1999 | 451 | 1999 |
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETH在 tuebingen.mpg.de 的电子邮件经过验证
