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John Shawe-Taylor
John Shawe-Taylor
Verified email at cs.ucl.ac.uk
Title
Cited by
Cited by
Year
Support Vector Machines
N Cristianini, J Shawe-Taylor
Cambridge: Cambridge University Press, 2000
230142000
Kernel Methods for Pattern Analysis
J Shawe-Taylor
Cambridge University Press google schola 2, 181-201, 2004
94492004
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
74762001
Canonical correlation analysis: An overview with application to learning methods
DR Hardoon, S Szedmak, J Shawe-Taylor
Neural computation 16 (12), 2639-2664, 2004
38982004
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
31291999
Large margin DAGs for multiclass classification
J Platt, N Cristianini, J Shawe-Taylor
Advances in neural information processing systems 12, 1999
29371999
Challenges in representation learning: A report on three machine learning contests
IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ...
Neural information processing: 20th international conference, ICONIP 2013 …, 2013
21962013
Text classification using string kernels
H Lodhi, C Saunders, J Shawe-Taylor, N Cristianini, C Watkins
Journal of machine learning research 2 (Feb), 419-444, 2002
20732002
On kernel-target alignment
N Cristianini, J Shawe-Taylor, A Elisseeff, J Kandola
Advances in neural information processing systems 14, 2001
14492001
Support vector machines
J Shawe-Taylor, N Cristianini
Cambridge university press, 2000
842*2000
Structural risk minimization over data-dependent hierarchies
J Shawe-Taylor, PL Bartlett, RC Williamson, M Anthony
IEEE transactions on Information Theory 44 (5), 1926-1940, 1998
7451998
Linear programming boosting via column generation
A Demiriz, KP Bennett, J Shawe-Taylor
Machine Learning 46, 225-254, 2002
5882002
Empirical risk minimization under fairness constraints
M Donini, L Oneto, S Ben-David, JS Shawe-Taylor, M Pontil
Advances in neural information processing systems 31, 2018
5252018
Generalization performance of support vector machines and other pattern classifiers
P Bartlett, J Shawe-Taylor
Advances in Kernel methods—support vector learning, 43-54, 1999
4881999
Two view learning: SVM-2K, theory and practice
J Farquhar, D Hardoon, H Meng, J Shawe-Taylor, S Szedmak
Advances in neural information processing systems 18, 2005
4432005
Latent semantic kernels
N Cristianini, J Shawe-Taylor, H Lodhi
Journal of Intelligent Information Systems 18, 127-152, 2002
4132002
Kernel-based learning of hierarchical multilabel classification models
J Rousu, C Saunders, S Szedmak, J Shawe-Taylor
Journal of Machine Learning Research 7, 1601-1626, 2006
3732006
The 2005 pascal visual object classes challenge
M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ...
Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual …, 2006
3732006
Inferring a semantic representation of text via cross-language correlation analysis
A Vinokourov, N Cristianini, J Shawe-Taylor
Advances in neural information processing systems 15, 2002
3412002
PAC-Bayes & margins
J Langford, J Shawe-Taylor
Advances in neural information processing systems 15, 2002
3362002
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