 | Shawe-Taylor, John (John Shawe-Taylor, Peter L. Bartlett, Robert C. Williamson and Martin Anthony) -- A framework for structural risk minimization - 1996 |
| Shawe-Taylor, John (Donghui Wu, Kristin P. Bennett, Nello Cristianini and John Shawe-Taylor) -- Large margin trees for induction and transduction - 1999 |
| Shawe-Taylor, John (Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor and Donghui Wu) -- Enlarging the Margins in Perceptron Decision Trees - 2000 |
| Shawe-Taylor, John (Nello Cristianini, John Shawe-Taylor and Peter Sykacek) -- Bayesian classifiers are large margin hyperplanes in a Hilbert space - 1998 |
| Shawe-Taylor, John (Ralf Herbrich, Thore Graepel and John Shawe-Taylor) -- Sparsity vs. Large Margins for Linear Classifiers - 2000 |
| Shawe-Taylor, John (Thorsten Joachims, Nello Cristianini and John Shawe-Taylor) -- Composite Kernels for Hypertext Categorisation - 2001 |
| Shawe-Taylor, John (John Shawe-Taylor) -- Introducing the Special Issue of Machine Learning Selected from Papers Presented at the 1997 Conference on Computational Learning Theory, COLT'97 - 1999 |
| Shawe-Taylor, John (Nello Cristianini, John Shawe-Taylor and Huma Lodhi) -- Latent Semantic Kernels - 2001 |
| Shawe-Taylor, John (Matthias Rychetsky, John Shawe-Taylor and Manfred Glesner) -- Direct Bayes Point Machines - 2000 |
| Shawe-Taylor, John (John Shawe-Taylor and Nello Christianini) -- Margin Distribution Bounds on Generalization - 1999 |
| Shawe-Taylor, John (John Shawe-Taylor and Nello Cristianini) -- Further results on the margin distribution - 1999 |
| Shawe-Taylor, John (John Shawe-Taylor) -- Confidence estimates of classification accuracy on new examples - 1997 |
| Shawe-Taylor, John (John Shawe-Taylor, Chris Williams, Nello Cristianini and Jaz Kandola) -- On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum - 2002 |
| Shawe-Taylor, John (John Shawe-Taylor) -- Sample sizes for sigmoidal neural networks - 1995 |
| Shawe-Taylor, John (Ying Guo, Peter L. Bartlett, John Shawe-Taylor and Robert C. Williamson) -- Covering numbers for support vector machines - 1999 |
| Shawe-Taylor, John (Nello Cristianini and John Shawe-Taylor) -- An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods - 2000 |
| Shawe-Taylor, John (Ayhan Demiriz, Kristin P. Bennett and John Shawe-Taylor) -- Linear Programming Boosting via Column Generation - 2002 |
| Shawe-Taylor, John (Carlos Domingo and John Shawe-Taylor) -- The Complexity of Learning Minor Closed Graph Classes - 1995 |
| Shawe-Taylor, John (Thore Graepel, Ralf Herbrich and John Shawe-Taylor) -- Generalisation Error Bounds for Sparse Linear Classifiers - 2000 |
| Shawe-Taylor, John (Mario Marchand and John Shawe-Taylor) -- Learning with the Set Covering Machine - 2001 |
| Shawe-Taylor, John (Kristin P. Bennett, Ayhan Demiriz and John Shawe-Taylor) -- A Column Generation Algorithm for Boosting - 2000 |
| Shawe-Taylor, John (John Shawe-Taylor and Robert C. Williamson) -- A PAC Analysis of a Bayesian Estimator - 1997 |
| Shawe-Taylor, John (John Shawe-Taylor) -- Classification Accuracy Based on Observed Margin - 1998 |
