Anthony, Martin and
Boros, Endre and
Crama, Yves and
Gruber, Aritanan
(2016)
Quadratic reformulations of nonlinear binary
optimization problems
Mathematical Programming. ISSN 0025-5610
Anthony, Martin and
Boros, Endre and
Crama, Yves and
Gruber, Aritanan
(2016)
Quadratization of symmetric pseudo-Boolean functions
Discrete Applied Mathematics, 203. 1-12. ISSN 0166-218X
Anthony, Martin and
Ratsaby, Joel
(2014)
Learning bounds via sample width for classifiers on finite metric spaces
Theoretical Computer Science, 529. 2-10. ISSN 0304-3975
Anthony, Martin and
Ratsaby, Joel
(2014)
Classification based on prototypes with spheres of influence
London School of Economics and Political Science, Department of Mathematics, London, UK.
Anthony, Martin and
Ratsaby, Joel
(2013)
Large margin case-based reasoning
RUTCOR Research Reports, RRR 2-2013. Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
Anthony, Martin and
Ratsaby, Joel
(2013)
Quantifying accuracy of learning via sample width
Proceedings of the 2013 IEEE Symposium on Foundations of Computational Intelligence (Foci): 2013 IEEE Symposium Series on Com. 84-90. ISSN 9781467359016
Anthony, Martin and
Ratsaby, Joel
(2013)
Maximal-margin case-based inference
In:
Jin, Yaochu and
Thomas, Spencer Angus, (eds.)
2013 13th Uk Workshop on Computational Intelligence (Ukci): Management School Foyer, University of Surrey, Guildford, Surrey, Uk. IEEE Conference Publications. Institute of Electrical and Electronics Engineers, New York, USA, 112-119. ISBN 9781479915682
Anthony, Martin and
Boros, Endre and
Crama, Yves and
Gruber, Aritanan
(2013)
Quadratization of symmetric pseudo-Boolean functions
RUTCOR Research Reports, RRR 12-2013. Rutgers University, Rutgers Center for Operations Research, New Jersey, USA.
Anthony, Martin
(2012)
Probability in machine learning
In:
Seel, Norbert M. , (ed.)
Encyclopedia of the Sciences of Learning. Springer Verlag. ISBN 9781441914279
Anthony, Martin and
Ratsaby, Joel
(2012)
The performance of a new hybrid classifier based on boxes and nearest neighbors.
In: International Symposium on Artificial Intelligence and Mathematics, 9th-11th January 2012, Fort Lauderdale
Subasi, Munevver Mine and
Subasi, Ersoy and
Anthony, Martin and
Hammer, Peter L.
(2012)
A new imputation method for incomplete binary data.
In: International Symposium on Artificial Intelligence and Mathematics, 9th-11th January 2012, Fort Lauderdale
Anthony, Martin and
Ratsaby, Joel
(2012)
Sample width for multi-category classifiers
RUTCOR Research Reports, RRR 29-2012. RUTCOR, Rutgers University, Piscataway, New Jersey, USA.
Anthony, Martin and
Ratsaby, Joel
(2012)
Robust cutpoints in the logical analysis of numerical data
Discrete Applied Mathematics, 160 (4 - 5). 355-364. ISSN 0166-218X
Anthony, Martin
(2012)
Generalization error bounds for the logical analysis of data
Discrete Applied Mathematics, 160 (10-11). 1407-1415. ISSN 0166-218X
Anthony, Martin and
Harvey, Michele
(2012)
Linear algebra: concepts and methods
Cambridge University Press, Cambridge, UK. ISBN 9780521279482
Anthony, Martin and
Ratsaby, Joel
(2012)
Learning on finite metric spaces
RUTCOR research reports, RRR 19-2012. Center for Operations Research, Rutgers University, Piscataway, New Jersey.
Anthony, Martin and
Ratasaby, Joel
(2012)
Analysis of a multi-category classifier
Discrete Applied Mathematics, 160 (16-17). 2329-2338. ISSN 0166-218X
Anthony, Martin and
Ratsaby, Joel
(2012)
Using boxes and proximity to classify data into several categories
RUTCOR research reports, RRR 7-2012. Center for Operations Research, Rutgers University, Piscataway, New Jersey.
Anthony, Martin and
Harvey, Michele
(2011)
Algebra
Anthony, Martin
(2011)
The beauty of maths
LSE Connect (1 Jan 2011) 19
Anthony, Martin and
Ratsaby, Joel
(2011)
The performance of a new hybrid classifier based on boxes and nearest neighbors
RUTCOR research reports, RRR 17-2011. Center for Operations Research, Rutgers University, Piscataway, New Jersey.
Anthony, Martin
(2011)
Generalization error bounds for the logical analysis of data
Rutcor Research Report, 1-2011. Rutgers University, New Jersey, USA.
Subasi, Munevver Mine and
Subasi, Ersoy and
Anthony, Martin and
Hammer, Peter L.
(2011)
A new imputation method for incomplete binary data
Discrete Applied Mathematics, 159 (10). 1040-1047. ISSN 0166-218X
Anthony, Martin
(2010)
Neural networks and boolean functions
In:
Crama, Yves and
Hammer, Peter L., (eds.)
Boolean Models and Methods in Mathematics, Computer Science, and Engineering. Encyclopedia of mathematics and its applications (134). Cambridge University Press, New York, USA, 554-576. ISBN 9780521847520
Anthony, Martin
(2010)
Probabilistic learning of boolean functions
In:
Grama, Yves and
Hammer, Peter L., (eds.)
Boolean Models and Methods in Mathematics, Computer Science, and Engineering. Encyclopedia of mathematics and its applications (134). Cambridge University Press, New York, USA, 197-220. ISBN 9780521847520
Anthony, Martin
(2010)
Decision lists and related classes of boolean functions
In:
Crama, Yves and
Hammer, Peter L., (eds.)
Boolean Models and Methods in Mathematics, Computer Science, and Engineering. Encyclopedia of mathematics and its applications (134). Cambridge University Press, New York, USA, 577-598. ISBN 9780521847520
Anthony, Martin and
Ratsaby, Joel
(2010)
Maximal width learning of binary functions
Theoretical Computer Science, 411 (1). 138-147. ISSN 0304-3975
Anthony, Martin
(2009)
On constructing threshold networks for pattern classification
In:
Franco, Leonardo and
Elizondo, David A. and
Jerez, José M., (eds.)
Constructive Neural Networks. Studies in computational intelligence (258). Springer, Berlin, Germany, 71-82. ISBN 9783642045110
Subasi, M. and
Subasi, E. and
Anthony, Martin and
Hammer, P. L.
(2009)
Using a similarity measure for credible classification
Discrete Applied Mathematics, 157 (5). 1104-1112. ISSN 0166-218X
Anthony, Martin
(2007)
Advanced mathematical analysis
2790041. University of London Press, London, UK.
Anthony, Martin and
Harvey, M
(2006)
Advanced linear algebra
University of London Press, London, UK. ISBN 0387978372
Anthony, Martin and
Hammer, Peter Ladislaw
(2006)
A Boolean measure of similarity
Discrete Applied Mathematics, 154 (16). 2242-2246. ISSN 0166-218X
Anthony, Martin and
Franco, Leonardo
(2006)
The influence of oppositely classified examples on the generalization complexity of Boolean functions
IEEE Transactions on Neural Networks, 17 (3). 578-590. ISSN 1045-9227
Franco, L. and
Subirats, J.L. and
Anthony, Martin and
Jerez, J.M.
(2006)
A new constructive approach for creating all linearly separable (threshold) functions
In: International Joint Conference on Neural Networks, 2006. Ijcnn '06. IEEE, Vancouver, Canada, 4791-4796.
Anthony, Martin and
Ratsaby, Joel
(2006)
Maximal width learning of binary functions
CDAM research report series, CDAM-LSE-2006-11. Centre for Discrete and Applicable Mathematics, London School of Economics and Political Science, London, UK.
Anthony, Martin
(2005)
Learning boolean functions
CDAM research report series, CDAM-LSE-2005-24. Centre for Discrete and Applicable Mathematics, London School of Economics and Political Science, London, UK.
Anthony, Martin
(2005)
Decision lists
CDAM research report series, CDAM-LSE-2005-23. Centre for Discrete and Applicable Mathematics, London School of Economics and Political Science, London, UK.
Anthony, Martin
(2005)
Connections between neural networks and boolean functions
CDAM research report series, CDAM-LSE-2005-25. Centre for Discrete and Applicable Mathematics, London School of Economics and Political Science, London, UK.
Anthony, Martin and
Hammer, P. L. and
Subasi, E. and
Subasi, M.
(2005)
Using a similarity measure for credible classification
CDAM research report series, CDAM-LSE-2005-22. Centre for Discrete and Applicable Mathematics, London School of Economics and Political Science, London, UK.
Anthony, Martin
(2004)
On data classification by iterative linear partitioning
Discrete Applied Mathematics, 144 (1-2). 2-16. ISSN 0166-218X
Anthony, Martin
(2004)
Generalization error bounds for threshold decision lists
Journal of Machine Learning Research, 5 (Feb). 189-217. ISSN 1532-4435
Franco, Leonardo and
Anthony, Martin
(2004)
On a generalisation complexity measure for boolean functions
In: Proceedings of the IEEE 2004 International Joint Conference on Neural Networks. IEEE Press. ISBN 0780383591
Anthony, Martin
(2004)
Some connections between learning and optimization
Discrete Applied Mathematics, 144 (1-2). 17-26. ISSN 0166-218X
Anthony, Martin
(2004)
On Learning a Function of Perceptrons
In: Proceedings of the IEEE 2004 International Joint Conference on Neural Networks. IEEE Press, 967-972. ISBN 0780383591
Anthony, Martin and
Hammer, Peter L.
(2004)
A Boolean measure of similarity
RUTCOR research reports, 27-2004. Rutgers Center for Operations Research, Rutgers University, New Jersey, USA.
Anthony, Martin
(2003)
Accuracy of classification by iterative linear thresholding.
In: SIAM International Conference on Data Mining, 1-3 May 2003, San Francisco, CA., USA
Anthony, Martin
(2003)
Links between learning and optimization: a brief tutorial
CDAM research report series, LSE-CDAM-2003-02. Centre for Discrete and Applicable Mathematics, London School of Economics and Political Science, London, UK.
Anthony, Martin
(2003)
Boolean functions and artificial neural networks
CDAM research report series, LSE-CDAM-2003-01. Centre for Discrete and Applicable Mathematics, London School of Economics and Political Science, London, UK.
Anthony, Martin
(2003)
Margin-based generalization error bounds for threshold decision lists
CDAM research report series, LSE-CDAM-2003-09. Centre for Discrete and Applicable Mathematics, London School of Economics and Political Science, London, UK.
Franco, Leonardo and
Anthony, Martin
(2003)
The influence of opposite examples and randomness on the generalization complexity of Boolean functions
CDAM research report series, LSE-CDAM-2003-21. Centre for Discrete and Applicable Mathematics, London School of Economics and Political Science, London, UK.
Anthony, Martin
(2003)
On Boolean combinations of definitive classifiers
CDAM Research Report Series, LSE-CDAM-2003-22. Centre for Discrete and Applicable Mathematics, London School of Economics and Political Science, London, UK.
Anthony, Martin
(2003)
Learning multivalued multithreshold functions
CDAM Research Report Series, LSE-CDAM-2003-03. Centre for Discrete and Applicable Mathematics, London School of Economics and Political Science, London, UK.
Anthony, Martin
(2002)
Mathematical modelling of generalization
In:
Marinaro, M. and
Tagliaferri, R., (eds.)
Neural Nets: 13th Italian Workshop on Neural Nets, Wirn Vietri 2002 Vietri Sul Mare, Italy, May 30-June 1, 2002. Lecture notes in computer science (2486). Springer, Berlin; New York, 181-189. ISBN 9783540442653
Anthony, Martin
(2002)
The sample complexity and computational complexity of Boolean function learning
CDAM research report series, LSE-CDAM-2002-13. Centre for Discrete and Applicable Mathematics, London School of Economics and Political Science, London, UK.
Anthony, Martin
(2002)
Decision lists and threshold decision lists
CDAM research report series, LSE-CDAM-2002-11. Centre for Discrete and Applicable Mathematics, London School of Economics and Political Science, London, UK.
Anthony, Martin
(2002)
Partitioning points by parallel planes
CDAM research report series, LSE-CDAM-2002-10. Centre for Discrete and Applicable Mathematics, London School of Economics and Political Science, London, UK.
Anthony, Martin
(2002)
Uniform Glivenko-Cantelli theorems and concentration of measure in the mathematical modelling of learning
CDAM research report series, LSE-CDAM-2002-07. Centre for Discrete and Applicable Mathematics, London School of Economics and Political Science, London, UK.
Anthony, Martin
(1999)
Accuracy of techniques for the logical analysis of data
Discrete Applied Mathematics, 96-97 (1-3). 247-257. ISSN 0166-218X
Anthony, Martin and
Biggs, Norman
(1995)
Pac learning and artificial neural networks
In:
Arbib, Michael A., (ed.)
Handbook of Brain Theory and Neural Networks. MIT Press, Cambridge, MA, USA, 694-697. ISBN 9780262011488