PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Martin Anthony

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Number of EPrints submitted by this user: 69

Generalization by threshold decision lists
Martin Anthony
Journal of Machine Learning Research Volume 5, pp. 189-217, 2004. ISSN 1533-7928

On data classification by iterative linear partitioning
Martin Anthony
Discrete Applied Mathematics 2004. ISSN 0166-218X

On a generalization complexity measure for Boolean functions
Leonardo Franco and Martin Anthony
In: IJCNN 2004, 26-29 July 2004, Budapest, Hungary.

On learning a function of perceptrons
Martin Anthony
In: IJCNN 2004, 26-29 July, Budapest, Hungary.

On Boolean combinations of definitive classifiers
Martin Anthony
(2003) Technical Report. Centre for Discrete and Applicable Mathematics, LSE, London, UK.

The influence of opposite examples and randomness on the generalization complexity of Boolean functions
Leonardo Franco and Martin Anthony
(2003) Technical Report. Centre for Discrete and Applicable Mathematics, LSE, London, UK.

Partitioning points by parallel planes
Martin Anthony
Discrete Mathematics Volume 282, Number 1-3, pp. 17-21, 2004. ISSN 0012-365X

A Boolean Measure of Similarity
Martin Anthony and Peter L. Hammer
(2004) Technical Report. RUTCOR, Rutgers University, Piscataway, New Jersey, USA.

Generalization error bounds for threshold decision lists
Martin Anthony
Journal of Machine Learning Research Volume 5, pp. 189-217, 2004. ISSN 1533-7928

Using a similarity measure for credible classification
Martin Anthony, Ersoy Subasi, Mine Subasi and Peter Hammer
(2005) Technical Report. RUTCOR, Piscataway, New Jersey.

Properties of a binary similarity measure
Ben Veal
(2005) Technical Report. LSE Centre for Discrete and Applicable Mathematics, London.

Decision lists
Martin Anthony
In: Boolean Methods and Models (2005) to appear Cambridge University Press .

Learning Boolean Functions
Martin Anthony
In: Boolean Methods and Models (2005) to appear Cambridge University Press .

Connections between Neural Networks and Boolean Functions
Martin Anthony
In: Boolean Methods and Models (2005) to appear, Cambridge University Press .

A Novel Strategy for the 2005 Penn–Lehman Automated Trading Competition
Rahul Savani and Ben Veal
(2005) Technical Report. Centre for Discrete and Applicable Mathematics, LSE, London, UK.

The algebra of Bonferroni bounds: discrete tubes and extensions
D.Q. Naiman and Henry Wynn
Metrika Volume 62, Number 2-3, pp. 139-147, 2005. ISSN 0026-1335

Asymptotic behaviour of a family of gradient algorithms in R^d and {H}ilbert spaces.
Luc Pronzato, Henry Wynn and A.A. Zhigljavsky
Mathematical Programming 2005.

Kantarovich-type inequalities for operators via D-optimal design theory
Luc Pronzato, Henry Wynn and Anatoly Zhigljavsky
Linear Algebra and its Applications Volume 410, pp. 160-169, 2005.

SPSA based Actor-Critic Algorithm by Using Deterministic Perturbation Sequences
CVL Raju
(2005) Technical Report. Centre for Discrete and Applicable Mathematics, London, UK.

The Influence of Oppositely Classified Examples on the Generalization Complexity of Boolean Functions
Leonardo Franco and Martin Anthony
IEEE Transactions on Neural Networks Volume 17, Number 3, pp. 578-590, 2006.

On the generalization error of fixed combinations of classifiers
Martin Anthony
Journal of Computer and System Sciences Volume to appear, 2006.

Maximal width learning of binary functions
Martin Anthony and Joel Ratsaby
CDAM research report series Number LSE-CDAM-2006-11, 2006.

A Boolean Measure of Similarity
Martin Anthony and Peter Hammer
Discrete Applied Mathematics Volume 154, Number 6, 2006.

A new constructive algorithm for creating all linearly separable (threshold) functions
Leonardo Franco, Jose Luis Subirats, Martin Anthony and Jose Jerez
In: IJCNN, 16-21 July 2006, Vancouver.

The influence of oppositely classified examples on the generalization complexity of Boolean functions
Leonardo Franco and Martin Anthony
IEEE Transactions on Neural Networks Volume 17, Number 3, pp. 578-590, 2006.

Slope modified confidence bands for a simple linear regression model
A.J. Hayter, Henry Wynn and W Liu
Stat. Methodol. Volume 3, Number 2, pp. 186-192, 2006.

Asymptotic behaviour of a family of gradient algorithms in R^d and Hilbert spaces
Luc Pronzato, Henry Wynn and Anatoly Zhigljavsky
Math. Programming Volume 107, Number 3, pp. 409-438, 2006.

Cumulant varieties
Giovanni Pistone and Henry Wynn
J. Symbolic Comput. Volume 41, Number 2, pp. 210-221, 2006.

A Simultaneous Deterministic Perturbation Actor-Critic Algorithm with an Application to Optimal Mortgage Refinancing
CVL Raju and S Bhatnagar
In: 45th IEEE Conference on Decision and Control, San Diego(2006).

On the generalization error of fixed combinations of classifiers
Martin Anthony
Journal of Computer and System Sciences Volume 73, Number 5, pp. 725-734, 2007. ISSN 0022-0000

Betti numbers and minimal free resolutions for multi-state system reliability bounds
Eduardo Saenz de Cabezon and Henry Wynn
In: MEGA2007, June 25-29 2007, Strobl, Austria.

Stochastic orderings for discrete random variables
A Giovagnoli and Henry Wynn
Probability Letters Volume 78, Number 16, pp. 2827-2835, 2008.

Optimal experimental design and quadratic optimization
Rebecca Haycroft, Luc Pronzato, Henry Wynn and Anatoly Zhigljavsky
Tatra Mt. Math. Publ. Volume 39, pp. 115-123, 2008.

Nonlinear matroid optimization and experimental design
Yael Bernstein, Jon Lee, Hugo Maruri-Aguilar, Shmeul Onn, Eva Riccomagno, Robert Weismantel and Henry Wynn
SIAM Journal of Discrete Mathematics Volume 22, Number 3, pp. 901-919, 2008.

Algebraic solutions to the connectivity problem for $m$-way layouts: interaction-contrast aliasing
Henry Wynn
J. Statistical Planning and Inference Volume 138, Number 1, pp. 259-271, 2008.

An algebraic framework for Bayes nets of time series
Peter Caines and Henry Wynn
In: Modeling, estimation and control Lecture Notes in Control and Information Science , 364 . (2007) Springer , Berlin , pp. 45-57.

Aspects of discrete mathematics and probability in the theory of machine learning
Martin Anthony
Discrete Applied Mathematics Volume 156, Number 6, pp. 883-902, 2008.

Using a similarity measure for credible classification
Mine Subasi, Ersoy Subasi, Martin Anthony and Peter Hammer
Discrete Applied Mathematics Volume 157, Number 5,6, pp. 1104-1112, 2009.

Bayes nets of time series: stochastic realizations and projections
Henry Wynn, P.E. Caines and R. Deardon
In: Optimal Design and Related Areas in Optimization and Statistics (2009) Springer , pp. 155-166.

Bivariate dependence orderings for unordered categorical variables
A Giovagnoli, J Marzialetti and Henry Wynn
In: Optimal design and related areas in optimization and statistics (2009) Springer , pp. 81-96.

A dynamical-system analysis of the optimum $s$-gradient algorithm
L Pronzato, Henry Wynn and A Zhigljavsky
In: Optimal design and related areas in optimization and statistics (2009) Springer , pp. 39-80.

Studying convergence of gradient algorithms via optimal experimental design theory
R Haycroft, L Pronzato, Henry Wynn and A Zhigljavsky
In: Optimal design and related areas in optimization and statistics (2009) Springer .

Betti numbers and minimal free resolutions for multi-state system reliability bounds
Eduardo Saenz-de-Cabezon and Henry Wynn
J. Symbolic Comput. Volume 44, Number 9, pp. 1311-1325, 2009.

Aspects of discrete mathematics and probability in the theory of machine learning
Martin Anthony
Discrete Applied Mathematics Volume 156, Number 6, pp. 883-902, 2008.

Using a similarity measure for credible classification
Mine Subasi, Ersoy Subasi, Martin Anthony and Peter Hammer
Discrete Applied Mathematics Volume 157, Number 5, 6, pp. 1104-1112, 2009.

On constructing threshold networks for pattern classification
Martin Anthony
In: Constructive Neural Network Algorithms (2009) Springer .

A new imputation method for incomplete binary data
Mine Subasi, Ersoy Subasi, Martin Anthony and Peter Hammer
(2009) Technical Report. Rutgers University.

Maximal width learning of binary functions
Martin Anthony and Joel Ratsaby
Theoretical Computer Science Volume 411, pp. 138-147, 2010.

Probability theory in machine learning
Martin Anthony
In: Encyclopedia of the Sciences of Learning (2010) Springer . ISBN 978-1-4419-1427-9

Generalization Error Bounds for the Logical Analysis of Data
Martin Anthony
(2011) Technical Report. RUTCOR, Rutgers University, New Jersey.

A New Imputation Method for Incomplete Binary Data
Mine Subasi, Ersoy Subasi, Martin Anthony and Peter Hammer
Discrete Applied Mathematics 2010.

Robust Cutpoints in the Logical Analysis of Numerical Data
Martin Anthony and Joel Ratsaby
(2010) Technical Report. RUTCOR, Rutgers University, New Jersey.

Decision Lists and Related Classes of Boolean Functions
Martin Anthony
In: Boolean Functions: Boolean Models and Methods in Mathematics, Computer Science, and Engineering (2010) CUP . ISBN 9780521847520

Probabilistic Learning of Boolean Functions
Martin Anthony
In: Boolean Functions: Boolean Models and Methods in Mathematics, Computer Science, and Engineering (2010) CUP . ISBN 9780521847520

Neural Networks and Boolean Functions
Martin Anthony
In: Boolean Functions: Boolean Models and Methods in Mathematics, Computer Science, and Engineering (2010) CUP . ISBN 9780521847520

The performance of a new hybrid classifier based on boxes and nearest neighbours.
Martin Anthony and Joel Ratsaby
In: International Symposium on Artificial Intelligence and Mathematics 2012, 9-11 January 2012, Fort Lauderdale, Florida.

Generalization bounds for logical analysis of data
Martin Anthony
Discrete Applied Mathematics 2011.

Robust cutpoints in the logical analysis of data
Martin Anthony and Joel Ratsaby
Discrete Applied Mathematics 2011.

Probability Theory in Machine Learning
Martin Anthony
In: Encyclopedia of the Sciences of Learning (2012) Springer . ISBN 9781441914279

A new imputation method for incomplete binary data
Munevver Mine Subasi, Ersoy Subasi, Martin Anthony and Peter L. Hammer
Discrete Applied Mathematics Volume 159, Number 10, pp. 1040-1047, 2011.

The beauty of maths
Martin Anthony
LSE Connect Volume Summer 2011, 2011.

Binary Similarity Measures and their Applications in Machine Learning
Ben Veal
(2011) PhD thesis, London School of Economics.

Probabilistic Learning and Optimization Applied to Quantitative Finance
CVL Raju
(2011) PhD thesis, London School of Economics.

Volatility Forecast in FX Markets using Evolutionary Computing and Heuristic Techniques
CVL Raju
In: IEEE CIFEr 2012, March 29-30 2012, New York.

High Frequency Statistical Arbitrage via the Optimal Thermal Causal Path
CVL Raju
(2011) Technical Report. London School of Economics.

Learning on finite metric spaces
Martin Anthony and Joel Ratsaby
(2012) Technical Report. Rutgers University.

Sample width for multi-category classifiers
Martin Anthony and Joel Ratsaby
(2012) Technical Report. Rutgers University.

Quantifying accuracy of learning via sample width
Martin Anthony and Joel Ratsaby
In: IEEE Symposium Series on Computational Intelligence, April 2013, Singapore.

Large margin case-based reasoning
Martin Anthony and Joel Ratsaby
(2013) Technical Report. Rutgers University.