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Anthony, Martin ORCID: 0000-0002-7796-6044 and Ratsaby, Joel
(2020)
Large-width machine learning algorithm.
Progress in Artificial Intelligence, 9 (3).
275 – 285.
ISSN 2192-6360
Anthony, Martin ORCID: 0000-0002-7796-6044 and Ratsaby, Joel
(2018)
Large width nearest prototype classification on general distance spaces.
Theoretical Computer Science, 738 (22).
pp. 65-79.
ISSN 0304-3975
Anthony, Martin ORCID: 0000-0002-7796-6044 and Ratsaby, Joel
(2018)
Large-width bounds for learning half-spaces on distance spaces.
Discrete Applied Mathematics.
ISSN 0166-218X
Anthony, Martin ORCID: 0000-0002-7796-6044 and Ratsaby, Joel
(2017)
Classification based on prototypes with spheres of influence.
Information and Computation, 256.
pp. 372-380.
ISSN 0890-5401
Anthony, Martin ORCID: 0000-0002-7796-6044 and Ratsaby, Joel
(2016)
Multi-category classifiers and sample width.
Journal of Computer and System Sciences, 82 (8).
pp. 1223-1231.
ISSN 0022-0000
Anthony, Martin ORCID: 0000-0002-7796-6044 and Ratsaby, Joel
(2015)
A probabilistic approach to case-based inference.
Theoretical Computer Science, 589.
pp. 61-75.
ISSN 0304-3975
Anthony, Martin ORCID: 0000-0002-7796-6044 and Ratsaby, Joel
(2014)
A hybrid classifier based on boxes and nearest neighbors.
Discrete Applied Mathematics, 172.
pp. 1-11.
ISSN 0166-218X
Anthony, Martin ORCID: 0000-0002-7796-6044 and Ratsaby, Joel
(2014)
Learning bounds via sample width for classifiers on finite metric spaces.
Theoretical Computer Science, 529.
pp. 2-10.
ISSN 0304-3975
Anthony, Martin ORCID: 0000-0002-7796-6044 and Ratsaby, Joel
(2012)
Robust cutpoints in the logical analysis of numerical data.
Discrete Applied Mathematics, 160 (4 - 5).
pp. 355-364.
ISSN 0166-218X
Anthony, Martin ORCID: 0000-0002-7796-6044 and Ratsaby, Joel
(2010)
Maximal width learning of binary functions.
Theoretical Computer Science, 411 (1).
pp. 138-147.
ISSN 0304-3975
Anthony, Martin ORCID: 0000-0002-7796-6044 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.
IEEE, New York, USA, pp. 112-119.
ISBN 9781479915682
(Submitted)
Anthony, Martin ORCID: 0000-0002-7796-6044 and Ratsaby, Joel
(2013)
Quantifying accuracy of learning via sample width.
In:
2013 IEEE Symposium on Foundations of Computational Intelligence (FOCI).
IEEE, Singapore, Singapore, pp. 84-90.
ISBN 9781467359016
Anthony, Martin ORCID: 0000-0002-7796-6044 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 ORCID: 0000-0002-7796-6044 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 ORCID: 0000-0002-7796-6044 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 ORCID: 0000-0002-7796-6044 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 ORCID: 0000-0002-7796-6044 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 ORCID: 0000-0002-7796-6044 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 ORCID: 0000-0002-7796-6044 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, 2012-01-09 - 2012-01-11, Fort Lauderdale FL, United States, USA.
(Submitted)