Martin Anthony

68 papers A* 5B 3Misc 2Journal 45Unranked 7

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	Large-width machine learning algorithm. Prog. Artif. Intell. Martin Anthony, Joel Ratsaby
2018	J	`jnl`	Large width nearest prototype classification on general distance spaces. Theor. Comput. Sci. Martin Anthony, Joel Ratsaby
2018	J	`jnl`	Large-width bounds for learning half-spaces on distance spaces. Discret. Appl. Math. Martin Anthony, Joel Ratsaby
2017	J	`jnl`	Classification based on prototypes with spheres of influence. Inf. Comput. Martin Anthony, Joel Ratsaby
2017	J	`jnl`	Quadratic reformulations of nonlinear binary optimization problems. Math. Program. Martin Anthony, Endre Boros, Yves Crama, Aritanan Gruber
2016	J	`jnl`	Multi-category classifiers and sample width. J. Comput. Syst. Sci. Martin Anthony, Joel Ratsaby
2016	J	`jnl`	Quadratization of symmetric pseudo-Boolean functions. Discret. Appl. Math. Martin Anthony, Endre Boros, Yves Crama, Aritanan Gruber
2015	J	`jnl`	A probabilistic approach to case-based inference. Theor. Comput. Sci. Martin Anthony, Joel Ratsaby
2014	J	`jnl`	A hybrid classifier based on boxes and nearest neighbors. Discret. Appl. Math. Martin Anthony, Joel Ratsaby
2014	J	`jnl`	Learning bounds via sample width for classifiers on finite metric spaces. Theor. Comput. Sci. Martin Anthony, Joel Ratsaby
2014	J	`jnl`	Quadratization of Symmetric Pseudo-Boolean Functions. CoRR Martin Anthony, Endre Boros, Yves Crama, Aritanan Gruber
2013	—	`conf`	Maximal-margin case-based inference. UKCI Martin Anthony, Joel Ratsaby
2013	—	`conf`	Quantifying accuracy of learning via sample width. FOCI Martin Anthony, Joel Ratsaby
2012	Misc	`conf`	A new imputation method for incomplete binary data. ISAIM Munevver Mine Subasi, Peter L. Hammer, Ersoy Subasi, Martin Anthony
2012	J	`jnl`	Analysis of a multi-category classifier. Discret. Appl. Math. Martin Anthony, Joel Ratsaby
2012	J	`jnl`	Generalization error bounds for the logical analysis of data. Discret. Appl. Math. Martin Anthony
2012	J	`jnl`	Robust cutpoints in the logical analysis of numerical data. Discret. Appl. Math. Martin Anthony, Joel Ratsaby
2012	Misc	`conf`	The performance of a new hybrid classifier based on boxes and nearest neighbors. ISAIM Martin Anthony, Joel Ratsaby
2011	J	`jnl`	A new imputation method for incomplete binary data. Discret. Appl. Math. Munevver Mine Subasi, Ersoy Subasi, Martin Anthony, Peter L. Hammer
2010	—	`ch.`	Decision Lists and Related Classes of Boolean Functions. Boolean Models and Methods Martin Anthony, Yves Crama, Peter L. Hammer
2010	J	`jnl`	Maximal width learning of binary functions. Theor. Comput. Sci. Martin Anthony, Joel Ratsaby
2010	—	`ch.`	Neural Networks and Boolean Functions. Boolean Models and Methods Martin Anthony, Yves Crama, Peter L. Hammer
2010	—	`ch.`	Probabilistic Learning and Boolean Functions. Boolean Models and Methods Martin Anthony, Yves Crama, Peter L. Hammer
2009	—	`ch.`	On Constructing Threshold Networks for Pattern Classification. Constructive Neural Networks Martin Anthony
2009	J	`jnl`	Using a similarity measure for credible classification. Discret. Appl. Math. Munevver Mine Subasi, Ersoy Subasi, Martin Anthony, Peter L. Hammer
2008	J	`jnl`	Aspects of discrete mathematics and probability in the theory of machine learning. Discret. Appl. Math. Martin Anthony
2008	J	`jnl`	Preface. Discret. Appl. Math. Martin Anthony, Endre Boros, Alexander Kogan
2007	J	`jnl`	On the generalization error of fixed combinations of classifiers. J. Comput. Syst. Sci. Martin Anthony
2006	J	`jnl`	A Boolean measure of similarity. Discret. Appl. Math. Martin Anthony, Peter L. Hammer
2006	B	`conf`	A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions. IJCNN Leonardo Franco, José Luis Subirats, Martin Anthony, José M. Jerez
2006	J	`jnl`	Preface. Discret. Appl. Math. Martin Anthony, Endre Boros, Peter L. Hammer, Alexander Kogan
2006	J	`jnl`	The influence of oppositely classified examples on the generalization complexity of Boolean functions. IEEE Trans. Neural Networks Leonardo Franco, Martin Anthony
2004	J	`jnl`	Generalization Error Bounds for Threshold Decision Lists. J. Mach. Learn. Res. Martin Anthony
2004	J	`jnl`	Introduction to special volume of Discrete Applied Mathematics. Discret. Appl. Math. Martin Anthony, Endre Boros, Peter L. Hammer, Alexander Kogan
2004	B	`conf`	On a generalization complexity measure for Boolean functions. IJCNN Leonardo Franco, Martin Anthony
2004	J	`jnl`	On data classification by iterative linear partitioning. Discret. Appl. Math. Martin Anthony
2004	B	`conf`	On learning a function of perceptrons. IJCNN Martin Anthony
2004	J	`jnl`	Partitioning points by parallel planes. Discret. Math. Martin Anthony
2004	J	`jnl`	Some connections between learning and optimization. Discret. Appl. Math. Martin Anthony
2002	—	`conf`	Mathematical Modelling of Generalization. WIRN Martin Anthony
2002	—	`book`	Neural Network Learning - Theoretical Foundations. Martin Anthony, Peter L. Bartlett
2000	J	`jnl`	Function Learning From Interpolation. Comb. Probab. Comput. Martin Anthony, Peter L. Bartlett
1999	J	`jnl`	Accuracy of Techniques for the Logical Analysis of Data. Discret. Appl. Math. Martin Anthony
1998	A*	`conf`	Cross-Validation for Binary Classification by Real-Valued Functions: Theoretical Analysis. COLT Martin Anthony, Sean B. Holden
1998	J	`jnl`	Probabilistic 'generalization' of functions and dimension-based uniform convergence results. Stat. Comput. Martin Anthony
1998	J	`jnl`	Structural Risk Minimization Over Data-Dependent Hierarchies. IEEE Trans. Inf. Theory John Shawe-Taylor, Peter L. Bartlett, Robert C. Williamson, Martin Anthony
1997	J	`jnl`	A Sufficient Condition for Polynomial Distribution-dependent Learnability. Discret. Appl. Math. Martin Anthony, John Shawe-Taylor
1996	A*	`conf`	A Framework for Structural Risk Minimisation. COLT John Shawe-Taylor, Peter L. Bartlett, Robert C. Williamson, Martin Anthony
1996	J	`jnl`	Valid Generalisation from Approximate Interpolation. Comb. Probab. Comput. Martin Anthony, Peter L. Bartlett, Yuval Ishai, John Shawe-Taylor
1995	J	`jnl`	Classification by Polynomial Surfaces. Discret. Appl. Math. Martin Anthony
1995	—	`conf`	Function learning from interpolation. EuroCOLT Martin Anthony, Peter L. Bartlett
1995	—	`conf`	Interpolation and Learning in Artificial Neural Networks. ICNN Martin Anthony
1995	J	`jnl`	On Specifying Boolean Functions by Labelled Examples. Discret. Appl. Math. Martin Anthony, Graham R. Brightwell, John Shawe-Taylor
1995	J	`jnl`	The vapnik-chervonenkis dimension of a random graph. Discret. Math. Martin Anthony, Graham R. Brightwell, Colin Cooper
1994	J	`jnl`	A Result of Vapnik with Applications. Discret. Appl. Math. Martin Anthony, John Shawe-Taylor
1994	J	`jnl`	On the mean chromatic number. Discret. Math. Martin Anthony
1994	—	`ed.`	Proceedings of the First European Conference on Computational Learning Theory, EuroCOLT 1993, London, UK, December 20-22, 1993. EuroCOLT John Shawe-Taylor, Martin Anthony
1994	J	`jnl`	Quantifying Generalization in Linearly Weighted Neural Networks. Complex Syst. Martin Anthony, Sean B. Holden
1993	J	`jnl`	A Result of Vapnik with Applications. Discret. Appl. Math. Martin Anthony, John Shawe-Taylor
1993	J	`jnl`	Bounding Sample Size with the Vapnik-Chervonenkis Dimension. Discret. Appl. Math. John Shawe-Taylor, Martin Anthony, Norman Biggs
1993	A*	`conf`	On the Power of Polynomial Discriminators and Radial Basis Function Networks. COLT Martin Anthony, Sean B. Holden
1993	J	`jnl`	The mean chromatic number of paths and cycles. Discret. Math. Martin Anthony, Norman Biggs
1993	J	`jnl`	Using the Perceptron Algorithm to Find Consistent Hypotheses. Comb. Probab. Comput. Martin Anthony, John Shawe-Taylor
1993	—	`conf`	Valid generalisation of functions from close approximations on a sample. EuroCOLT Martin Anthony, John Shawe-Taylor
1992	J	`jnl`	Classes of feedforward neural networks and their circuit complexity. Neural Networks John Shawe-Taylor, Martin Anthony, Walter Kern
1992	A*	`conf`	On Exact Specification by Examples. COLT Martin Anthony, Graham R. Brightwell, David A. Cohen, John Shawe-Taylor
1990	—	`conf`	Some Remarks on Authentication Systems. AUSCRYPT Martin Anthony, Keith M. Martin, Jennifer Seberry, Peter R. Wild
1990	A*	`conf`	The Learnability of Formal Concepts. COLT Martin Anthony, Norman Biggs, John Shawe-Taylor