John C. Platt
John C. Platt
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Fast training of support vector machines using sequential minimal optimization
JC Platt
Advances in kernel methods, 185-208, 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
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
Sequential minimal optimization: A fast algorithm for training support vector machines
J Platt
Support vector machines
MA Hearst, ST Dumais, E Osuna, J Platt, B Scholkopf
IEEE Intelligent Systems and their applications 13 (4), 18-28, 1998
Elastically deformable models
D Terzopoulos, J Platt, A Barr, K Fleischer
Proceedings of the 14th annual conference on Computer graphics and …, 1987
Large margin DAGs for multiclass classification
J Platt, N Cristianini, J Shawe-Taylor
Advances in neural information processing systems 12, 547-553, 1999
Best practices for convolutional neural networks applied to visual document analysis
PY Simard, D Steinkraus, JC Platt
ICDAR, 958, 2003
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
A resource-allocating network for function interpolation
J Platt
Neural computation 3 (2), 213-225, 1991
Support vector method for novelty detection
B Schölkopf, RC Williamson, A Smola, J Shawe-Taylor, J Platt
Advances in neural information processing systems 12, 582-588, 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
Analysis of representations for domain adaptation
S Ben-David, J Blitzer, K Crammer, F Pereira
Advances in neural information processing systems 19, 137-144, 2006
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
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
Multiple instance boosting for object detection
C Zhang, J Platt, P Viola
Advances in neural information processing systems 18, 1417-1424, 2005
Auto playlist generation with multiple seed songs
JC Platt
US Patent 6,987,221, 2006
Using analytic QP and sparseness to speed training of support vector machines
J Platt
Advances in neural information processing systems 11, 557-563, 1998
Constraint methods for flexible models
JC Platt, AH Barr
Proceedings of the 15th annual conference on Computer graphics and …, 1988
Hidden conditional random fields for phone classification
A Gunawardana, M Mahajan, A Acero, JC Platt
Ninth European Conference on Speech Communication and Technology, 2005
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