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2020 – today
- 2020
[j44]Martin Anthony
, Joel Ratsaby:
Large-width machine learning algorithm. Prog. Artif. Intell. 9(3): 275-285 (2020)
2010 – 2019
- 2018
- [j43]Martin Anthony, Joel Ratsaby:
Large-width bounds for learning half-spaces on distance spaces. Discret. Appl. Math. 243: 73-89 (2018) - [j42]Martin Anthony, Joel Ratsaby:
Large width nearest prototype classification on general distance spaces. Theor. Comput. Sci. 738: 65-79 (2018) - 2017
- [j41]Martin Anthony, Joel Ratsaby:
Classification based on prototypes with spheres of influence. Inf. Comput. 256: 372-380 (2017) - [j40]Martin Anthony, Endre Boros, Yves Crama, Aritanan Gruber:
Quadratic reformulations of nonlinear binary optimization problems. Math. Program. 162(1-2): 115-144 (2017) - 2016
- [j39]Martin Anthony, Endre Boros, Yves Crama, Aritanan Gruber:
Quadratization of symmetric pseudo-Boolean functions. Discret. Appl. Math. 203: 1-12 (2016) - [j38]Martin Anthony, Joel Ratsaby:
Multi-category classifiers and sample width. J. Comput. Syst. Sci. 82(8): 1223-1231 (2016) - 2015
- [j37]Martin Anthony, Joel Ratsaby:
A probabilistic approach to case-based inference. Theor. Comput. Sci. 589: 61-75 (2015) - 2014
- [j36]Martin Anthony, Joel Ratsaby:
A hybrid classifier based on boxes and nearest neighbors. Discret. Appl. Math. 172: 1-11 (2014) - [j35]Martin Anthony, Joel Ratsaby:
Learning bounds via sample width for classifiers on finite metric spaces. Theor. Comput. Sci. 529: 2-10 (2014) - [i1]Martin Anthony, Endre Boros, Yves Crama, Aritanan Gruber:
Quadratization of Symmetric Pseudo-Boolean Functions. CoRR abs/1404.6535 (2014) - 2013
- [c15]Martin Anthony, Joel Ratsaby:
Quantifying accuracy of learning via sample width. FOCI 2013: 84-90 - [c14]Martin Anthony, Joel Ratsaby:
Maximal-margin case-based inference. UKCI 2013: 112-119 - 2012
- [j34]Martin Anthony, Joel Ratsaby:
Robust cutpoints in the logical analysis of numerical data. Discret. Appl. Math. 160(4-5): 355-364 (2012) - [j33]Martin Anthony:
Generalization error bounds for the logical analysis of data. Discret. Appl. Math. 160(10-11): 1407-1415 (2012) - [j32]Martin Anthony, Joel Ratsaby:
Analysis of a multi-category classifier. Discret. Appl. Math. 160(16-17): 2329-2338 (2012) - [c13]Martin Anthony, Joel Ratsaby:
The performance of a new hybrid classifier based on boxes and nearest neighbors. ISAIM 2012 - [c12]Munevver Mine Subasi, Peter L. Hammer, Ersoy Subasi, Martin Anthony:
A new imputation method for incomplete binary data. ISAIM 2012 - 2011
- [j31]Munevver Mine Subasi, Ersoy Subasi, Martin Anthony, Peter L. Hammer:
A new imputation method for incomplete binary data. Discret. Appl. Math. 159(10): 1040-1047 (2011) - 2010
- [j30]Martin Anthony, Joel Ratsaby:
Maximal width learning of binary functions. Theor. Comput. Sci. 411(1): 138-147 (2010) - [p4]Martin Anthony, Yves Crama, Peter L. Hammer:
Probabilistic Learning and Boolean Functions. Boolean Models and Methods 2010: 197-220 - [p3]Martin Anthony, Yves Crama, Peter L. Hammer:
Neural Networks and Boolean Functions. Boolean Models and Methods 2010: 554-576 - [p2]Martin Anthony, Yves Crama, Peter L. Hammer:
Decision Lists and Related Classes of Boolean Functions. Boolean Models and Methods 2010: 577-596
2000 – 2009
- 2009
- [j29]Munevver Mine Subasi, Ersoy Subasi, Martin Anthony, Peter L. Hammer:
Using a similarity measure for credible classification. Discret. Appl. Math. 157(5): 1104-1112 (2009) - [p1]Martin Anthony:
On Constructing Threshold Networks for Pattern Classification. Constructive Neural Networks 2009: 71-82 - 2008
- [j28]Martin Anthony, Endre Boros, Alexander Kogan:
Preface. Discret. Appl. Math. 156(6): 823 (2008) - [j27]Martin Anthony:
Aspects of discrete mathematics and probability in the theory of machine learning. Discret. Appl. Math. 156(6): 883-902 (2008) - 2007
- [j26]Martin Anthony:
On the generalization error of fixed combinations of classifiers. J. Comput. Syst. Sci. 73(5): 725-734 (2007) - 2006
- [j25]Martin Anthony, Endre Boros, Peter L. Hammer, Alexander Kogan:
Preface. Discret. Appl. Math. 154(7): 1037 (2006) - [j24]Martin Anthony, Peter L. Hammer:
A Boolean measure of similarity. Discret. Appl. Math. 154(16): 2242-2246 (2006) - [j23]Leonardo Franco, Martin Anthony:
The influence of oppositely classified examples on the generalization complexity of Boolean functions. IEEE Trans. Neural Networks 17(3): 578-590 (2006) - [c11]Leonardo Franco, José Luis Subirats, Martin Anthony, José M. Jerez:
A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions. IJCNN 2006: 4791-4796 - 2004
- [j22]Martin Anthony, Endre Boros, Peter L. Hammer, Alexander Kogan:
Introduction to special volume of Discrete Applied Mathematics. Discret. Appl. Math. 144(1-2): 1- (2004) - [j21]Martin Anthony:
On data classification by iterative linear partitioning. Discret. Appl. Math. 144(1-2): 2-16 (2004) - [j20]Martin Anthony:
Some connections between learning and optimization. Discret. Appl. Math. 144(1-2): 17-26 (2004) - [j19]Martin Anthony:
Partitioning points by parallel planes. Discret. Math. 282(1-3): 17-21 (2004) - [j18]Martin Anthony:
Generalization Error Bounds for Threshold Decision Lists. J. Mach. Learn. Res. 5: 189-217 (2004) - 2002
- [b1]Martin Anthony, Peter L. Bartlett:
Neural Network Learning - Theoretical Foundations. Cambridge University Press 2002, ISBN 978-0-521-57353-5, pp. I-XIV, 1-389 - [c10]Martin Anthony:
Mathematical Modelling of Generalization. WIRN 2002: 181-189 - 2000
- [j17]Martin Anthony, Peter L. Bartlett:
Function Learning From Interpolation. Comb. Probab. Comput. 9(3): 213-225 (2000)
1990 – 1999
- 1999
- [j16]Martin Anthony:
Accuracy of Techniques for the Logical Analysis of Data. Discret. Appl. Math. 96-97: 247-257 (1999) - 1998
- [j15]Martin Anthony:
Probabilistic 'generalization' of functions and dimension-based uniform convergence results. Stat. Comput. 8(1): 5-14 (1998) - [j14]John Shawe-Taylor, Peter L. Bartlett, Robert C. Williamson, Martin Anthony:
Structural Risk Minimization Over Data-Dependent Hierarchies. IEEE Trans. Inf. Theory 44(5): 1926-1940 (1998) - [c9]Martin Anthony, Sean B. Holden:
Cross-Validation for Binary Classification by Real-Valued Functions: Theoretical Analysis. COLT 1998: 218-229 - 1997
- [j13]Martin Anthony, John Shawe-Taylor:
A Sufficient Condition for Polynomial Distribution-dependent Learnability. Discret. Appl. Math. 77(1): 1-12 (1997) - 1996
- [j12]Martin Anthony, Peter L. Bartlett, Yuval Ishai, John Shawe-Taylor:
Valid Generalisation from Approximate Interpolation. Comb. Probab. Comput. 5: 191-214 (1996) - [c8]John Shawe-Taylor, Peter L. Bartlett, Robert C. Williamson, Martin Anthony:
A Framework for Structural Risk Minimisation. COLT 1996: 68-76 - 1995
- [j11]Martin Anthony, Graham R. Brightwell, John Shawe-Taylor:
On Specifying Boolean Functions by Labelled Examples. Discret. Appl. Math. 61(1): 1-25 (1995) - [j10]Martin Anthony:
Classification by Polynomial Surfaces. Discret. Appl. Math. 61(2): 91-103 (1995) - [j9]Martin Anthony, Graham R. Brightwell, Colin Cooper:
The vapnik-chervonenkis dimension of a random graph. Discret. Math. 138(1-3): 43-56 (1995) - [c7]Martin Anthony, Peter L. Bartlett:
Function learning from interpolation. EuroCOLT 1995: 211-221 - [c6]Martin Anthony:
Interpolation and Learning in Artificial Neural Networks. ICNN 1995: 2928-2932 - 1994
- [j8]Martin Anthony, Sean B. Holden:
Quantifying Generalization in Linearly Weighted Neural Networks. Complex Syst. 8(2) (1994) - [j7]Martin Anthony, John Shawe-Taylor:
A Result of Vapnik with Applications. Discret. Appl. Math. 52(2): 211 (1994) - [j6]Martin Anthony:
On the mean chromatic number. Discret. Math. 125(1-3): 11-14 (1994) - [e1]John Shawe-Taylor, Martin Anthony:
Proceedings of the First European Conference on Computational Learning Theory, EuroCOLT 1993, London, UK, December 20-22, 1993. Oxford University Press 1994, ISBN 0-19-853492-2 [contents] - 1993
- [j5]Martin Anthony, John Shawe-Taylor:
Using the Perceptron Algorithm to Find Consistent Hypotheses. Comb. Probab. Comput. 2: 385-387 (1993) - [j4]John Shawe-Taylor, Martin Anthony, Norman Biggs:
Bounding Sample Size with the Vapnik-Chervonenkis Dimension. Discret. Appl. Math. 42(1): 65-73 (1993) - [j3]Martin Anthony, John Shawe-Taylor:
A Result of Vapnik with Applications. Discret. Appl. Math. 47(3): 207-217 (1993) - [j2]Martin Anthony, Norman Biggs:
The mean chromatic number of paths and cycles. Discret. Math. 120(1-3): 227-231 (1993) - [c5]Martin Anthony, Sean B. Holden:
On the Power of Polynomial Discriminators and Radial Basis Function Networks. COLT 1993: 158-164 - [c4]Martin Anthony, John Shawe-Taylor:
Valid generalisation of functions from close approximations on a sample. EuroCOLT 1993: 95-108 - 1992
- [j1]John Shawe-Taylor, Martin Anthony, Walter Kern:
Classes of feedforward neural networks and their circuit complexity. Neural Networks 5(6): 971-977 (1992) - [c3]Martin Anthony, Graham R. Brightwell, David A. Cohen, John Shawe-Taylor:
On Exact Specification by Examples. COLT 1992: 311-318 - 1990
- [c2]Martin Anthony, Keith M. Martin, Jennifer Seberry, Peter R. Wild:
Some Remarks on Authentication Systems. AUSCRYPT 1990: 122-139 - [c1]Martin Anthony, Norman Biggs, John Shawe-Taylor:
The Learnability of Formal Concepts. COLT 1990: 246-257
Coauthor Index
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