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Martin Anthony

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2008
35EEMartin Anthony, Endre Boros, Alexander Kogan: Preface. Discrete Applied Mathematics 156(6): 823 (2008)
34EEMartin Anthony: Aspects of discrete mathematics and probability in the theory of machine learning. Discrete Applied Mathematics 156(6): 883-902 (2008)
2007
33EEMartin Anthony: On the generalization error of fixed combinations of classifiers. J. Comput. Syst. Sci. 73(5): 725-734 (2007)
2006
32EELeonardo Franco, José Luis Subirats, Martin Anthony, José M. Jerez: A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions. IJCNN 2006: 4791-4796
31EEMartin Anthony, Peter L. Hammer: A Boolean measure of similarity. Discrete Applied Mathematics 154(16): 2242-2246 (2006)
30EEMartin Anthony, Endre Boros, Peter L. Hammer, Alexander Kogan: Preface. Discrete Applied Mathematics 154(7): 1037 (2006)
29EELeonardo Franco, Martin Anthony: The influence of oppositely classified examples on the generalization complexity of Boolean functions. IEEE Transactions on Neural Networks 17(3): 578-590 (2006)
2004
28EEMartin Anthony, Endre Boros, Peter L. Hammer, Alexander Kogan: Introduction to special volume of Discrete Applied Mathematics. Discrete Applied Mathematics 144(1-2): 1- (2004)
27EEMartin Anthony: Some connections between learning and optimization. Discrete Applied Mathematics 144(1-2): 17-26 (2004)
26EEMartin Anthony: On data classification by iterative linear partitioning. Discrete Applied Mathematics 144(1-2): 2-16 (2004)
25EEMartin Anthony: Partitioning points by parallel planes. Discrete Mathematics 282(1-3): 17-21 (2004)
24EEMartin Anthony: Generalization Error Bounds for Threshold Decision Lists. Journal of Machine Learning Research 5: 189-217 (2004)
2002
23EEMartin Anthony: Mathematical Modelling of Generalization. WIRN 2002: 181-189
2000
22 Martin Anthony, Peter L. Bartlett: Function Learning From Interpolation. Combinatorics, Probability & Computing 9(3): (2000)
1999
21EEMartin Anthony: Accuracy of Techniques for the Logical Analysis of Data. Discrete Applied Mathematics 96-97: 247-257 (1999)
1998
20EEMartin Anthony, Sean B. Holden: Cross-Validation for Binary Classification by Real-Valued Functions: Theoretical Analysis. COLT 1998: 218-229
19 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)
1997
18EEMartin Anthony, John Shawe-Taylor: A Sufficient Condition for Polynomial Distribution-dependent Learnability. Discrete Applied Mathematics 77(1): 1-12 (1997)
1996
17EEJohn Shawe-Taylor, Peter L. Bartlett, Robert C. Williamson, Martin Anthony: A Framework for Structural Risk Minimisation. COLT 1996: 68-76
16 Martin Anthony, Peter L. Bartlett, Yuval Ishai, John Shawe-Taylor: Valid Generalisation from Approximate Interpolation. Combinatorics, Probability & Computing 5: 191-214 (1996)
1995
15 Martin Anthony, Peter L. Bartlett: Function learning from interpolation. EuroCOLT 1995: 211-221
14EEMartin Anthony, Graham Brightwell, John Shawe-Taylor: On Specifying Boolean Functions by Labelled Examples. Discrete Applied Mathematics 61(1): 1-25 (1995)
13EEMartin Anthony: Classification by Polynomial Surfaces. Discrete Applied Mathematics 61(2): 91-103 (1995)
12EEMartin Anthony, Graham Brightwell, Colin Cooper: The vapnik-chervonenkis dimension of a random graph. Discrete Mathematics 138(1-3): 43-56 (1995)
1994
11EEMartin Anthony, John Shawe-Taylor: A Result of Vapnik with Applications. Discrete Applied Mathematics 52(2): 211 (1994)
10EEMartin Anthony: On the mean chromatic number. Discrete Mathematics 125(1-3): 11-14 (1994)
1993
9EEMartin Anthony, Sean B. Holden: On the Power of Polynomial Discriminators and Radial Basis Function Networks. COLT 1993: 158-164
8 Martin Anthony, John Shawe-Taylor: Using the Perceptron Algorithm to Find Consistent Hypotheses. Combinatorics, Probability & Computing 2: 385-387 (1993)
7EEJohn Shawe-Taylor, Martin Anthony, Norman Biggs: Bounding Sample Size with the Vapnik-Chervonenkis Dimension. Discrete Applied Mathematics 42(1): 65-73 (1993)
6EEMartin Anthony, John Shawe-Taylor: A Result of Vapnik with Applications. Discrete Applied Mathematics 47(3): 207-217 (1993)
5EEMartin Anthony, Norman Biggs: The mean chromatic number of paths and cycles. Discrete Mathematics 120(1-3): 227-231 (1993)
1992
4EEMartin Anthony, Graham Brightwell, David A. Cohen, John Shawe-Taylor: On Exact Specification by Examples. COLT 1992: 311-318
3EEJohn Shawe-Taylor, Martin Anthony, Walter Kern: Classes of feedforward neural networks and their circuit complexity. Neural Networks 5(6): 971-977 (1992)
1990
2 Martin Anthony, Keith M. Martin, Jennifer Seberry, Peter R. Wild: Some Remarks on Authentication Systems. AUSCRYPT 1990: 122-139
1EEMartin Anthony, Norman Biggs, John Shawe-Taylor: The Learnability of Formal Concepts. COLT 1990: 246-257

Coauthor Index

1Peter L. Bartlett [15] [16] [17] [19] [22]
2Norman Biggs [1] [5] [7]
3Endre Boros [28] [30] [35]
4Graham Brightwell [4] [12] [14]
5David A. Cohen [4]
6Colin Cooper [12]
7Leonardo Franco [29] [32]
8Peter L. Hammer [28] [30] [31]
9Sean B. Holden [9] [20]
10Yuval Ishai [16]
11José M. Jerez [32]
12Walter Kern [3]
13Alexander Kogan [28] [30] [35]
14Keith M. Martin [2]
15Jennifer Seberry (Jennifer Seberry Wallis) [2]
16John Shawe-Taylor [1] [3] [4] [6] [7] [8] [11] [14] [16] [17] [18] [19]
17José Luis Subirats [32]
18Peter R. Wild [2]
19Robert C. Williamson [17] [19]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)