| Support Vector Machines N Cristianini, J Shawe-Taylor Cambridge: Cambridge University Press, 2000 | 22346 | 2000 |
| The pascal visual object classes (voc) challenge M Everingham, L Van Gool, CKI Williams, J Winn, A Zisserman International journal of computer vision 88 (2), 303-338, 2010 | 15083 | 2010 |
| Kernel methods for pattern analysis J Shawe-Taylor, N Cristianini Cambridge university press, 2004 | 8504 | 2004 |
| 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 | 5763 | 2001 |
| Canonical correlation analysis: An overview with application to learning methods DR Hardoon, S Szedmak, J Shawe-Taylor Neural computation 16 (12), 2639-2664, 2004 | 3103 | 2004 |
| Large margin dags for multiclass classification. JC Platt, N Cristianini, J Shawe-Taylor nips 12, 547-553, 1999 | 2830 | 1999 |
| Support vector method for novelty detection. B Schölkopf, RC Williamson, AJ Smola, J Shawe-Taylor, JC Platt NIPS 12, 582-588, 1999 | 1864 | 1999 |
| 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 | 1843 | 2002 |
| On kernel target alignment N Cristianini, J Kandola, A Elisseeff, J Shawe-Taylor Innovations in machine learning, 205-256, 2006 | 1256 | 2006 |
| Challenges in representation learning: A report on three machine learning contests IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ... International conference on neural information processing, 117-124, 2013 | 918 | 2013 |
| 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 | 695 | 1998 |
| An introduction to support vector machines and other kernel-based learning methods J Shawe-Taylor, N Cristianini Volume, 2000 | 684 | 2000 |
| Linear programming boosting via column generation A Demiriz, KP Bennett, J Shawe-Taylor Machine Learning 46 (1), 225-254, 2002 | 548 | 2002 |
| 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 | 422 | 1999 |
| Latent semantic kernels N Cristianini, J Shawe-Taylor, H Lodhi Journal of Intelligent Information Systems 18 (2), 127-152, 2002 | 412 | 2002 |
| Two view learning: SVM-2K, theory and practice J Farquhar, D Hardoon, H Meng, JS Shawe-Taylor, S Szedmak Advances in neural information processing systems, 355-362, 2006 | 371 | 2006 |
| Kernel-based learning of hierarchical multilabel classification models. J Rousu, C Saunders, S Szedmak, J Shawe-Taylor, KP Bennett, ... Journal of Machine Learning Research 7 (7), 2006 | 333 | 2006 |
| An introduction to support vector machine N Cristianini, J Shawe-Taylor Cambridge university press, 2000 | 324 | 2000 |
| The 2005 pascal visual object classes challenge M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ... Machine Learning Challenges Workshop, 117-176, 2005 | 318 | 2005 |
| 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, 1497-1504, 2002 | 316 | 2002 |
Nello CristianiniUniversity of BristolVerified email at bristol.ac.uk
