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| 39 |       | John Shawe-Taylor, Peter L. Bartlett, Robert C. Williamson, Martin Anthony: Structural Risk Minimization Over Data-Dependent Hierarchies. IEEE Transactions on Information Theory 44(5): 1926-1940 (1998) |
| 34 | | Martin Anthony, John Shawe-Taylor: A Sufficient Condition for Polynomial Distribution-dependent Learnability. Discrete Applied Mathematics 77(1): 1-12 (1997) |
| 33 | | John Shawe-Taylor, Peter L. Bartlett, Robert C. Williamson, Martin Anthony: A Framework for Structural Risk Minimisation. COLT 1996: 68-76 |
| 31 | | Martin Anthony, Peter L. Bartlett, Yuval Ishai, John Shawe-Taylor: Valid Generalisation from Approximate Interpolation. Combinatorics, Probability & Computing 5: 191-214 (1996) |
| 22 | | Martin Anthony, Graham Brightwell, John Shawe-Taylor: On Specifying Boolean Functions by Labelled Examples. Discrete Applied Mathematics 61(1): 1-25 (1995) |
| 19 | | Martin Anthony, John Shawe-Taylor: A Result of Vapnik with Applications. Discrete Applied Mathematics 52(2): 211 (1994) |
| 14 | | Martin Anthony, John Shawe-Taylor: Using the Perceptron Algorithm to Find Consistent Hypotheses. Combinatorics, Probability & Computing 2: 385-387 (1993) |
| 13 | | John Shawe-Taylor, Martin Anthony, Norman Biggs: Bounding Sample Size with the Vapnik-Chervonenkis Dimension. Discrete Applied Mathematics 42(1): 65-73 (1993) |
| 12 | | Martin Anthony, John Shawe-Taylor: A Result of Vapnik with Applications. Discrete Applied Mathematics 47(3): 207-217 (1993) |
| 11 | | Martin Anthony, Graham Brightwell, David A. Cohen, John Shawe-Taylor: On Exact Specification by Examples. COLT 1992: 311-318 |
| 9 | | John Shawe-Taylor, Martin Anthony, Walter Kern: Classes of feedforward neural networks and their circuit complexity. Neural Networks 5(6): 971-977 (1992) |
| 6 | | Martin Anthony, Norman Biggs, John Shawe-Taylor: The Learnability of Formal Concepts. COLT 1990: 246-257 |
Selection of 12 from 199 records - John Shawe-Taylor has 193 coauthors
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