Items where Author is "Anthony, Martin"
Number of items: 75.
Large-width machine learning algorithm. (2020)
Anthony, Martin and Ratsaby, Joel
picture_as_pdf
Abstract mathematics.
Anthony, Martin
Accuracy of classification by iterative linear thresholding.
Anthony, Martin
Accuracy of techniques for the logical analysis of data.
Anthony, Martin
Advanced linear algebra.
Anthony, Martin and Harvey, M
Algebra.
Anthony, Martin and Harvey, Michele
Analysis of a multi-category classifier.
Anthony, Martin and Ratasaby, Joel
Analysis of data with threshold decision lists.
Anthony, Martin
Aspects of discrete mathematics and probability in the theory of machine learning.
Anthony, Martin
Boolean functions and artificial neural networks.
Anthony, Martin
A Boolean measure of similarity.
Anthony, Martin and Hammer, Peter Ladislaw
A Boolean measure of similarity.
Anthony, Martin and Hammer, Peter L.
Classification based on prototypes with spheres of influence.
Anthony, Martin and Ratsaby, Joel
Connections between neural networks and boolean functions.
Anthony, Martin
Data classification by multithreshold functions.
Anthony, Martin
Decision lists.
Anthony, Martin
Decision lists and related classes of boolean functions.
Anthony, Martin
Decision lists and threshold decision lists.
Anthony, Martin
Discrete mathematics of neural networks: selected topics.
Anthony, Martin
Function learning from interpolation.
Anthony, Martin and Bartlett, Peter L.
Further linear algebra.
Anthony, Martin and Harvey, Michele
Generalization error bounds for the logical analysis of data.
Anthony, Martin
Generalization error bounds for the logical analysis of data.
Anthony, Martin
Generalization error bounds for threshold decision lists.
Anthony, Martin
Large margin case-based reasoning.
Anthony, Martin and Ratsaby, Joel
Large width nearest prototype classification on general distance spaces.
Anthony, Martin and Ratsaby, Joel
Large-width bounds for learning half-spaces on distance spaces.
Anthony, Martin and Ratsaby, Joel
Learning boolean functions.
Anthony, Martin
Learning bounds via sample width for classifiers on finite metric spaces.
Anthony, Martin and Ratsaby, Joel
Learning multivalued multithreshold functions.
Anthony, Martin
Learning on finite metric spaces.
Anthony, Martin and Ratsaby, Joel
Linear algebra: concepts and methods.
Anthony, Martin and Harvey, Michele
Links between learning and optimization: a brief tutorial.
Anthony, Martin
Margin-based generalization error bounds for threshold decision lists.
Anthony, Martin
Mathematical modelling of generalization.
Anthony, Martin
Maximal width learning of binary functions.
Anthony, Martin and Ratsaby, Joel
Maximal width learning of binary functions.
Anthony, Martin and Ratsaby, Joel
Maximal-margin case-based inference.
Anthony, Martin and Ratsaby, Joel
Multi-category classifiers and sample width.
Anthony, Martin and Ratsaby, Joel
Neural network learning: theoretical foundations.
Anthony, Martin and Bartlett, P
Neural networks and boolean functions.
Anthony, Martin
On Boolean combinations of definitive classifiers.
Anthony, Martin
On Learning a Function of Perceptrons.
Anthony, Martin
On a generalisation complexity measure for boolean functions.
Franco, Leonardo and Anthony, Martin
On constructing threshold networks for pattern classification.
Anthony, Martin
On data classification by iterative linear partitioning.
Anthony, Martin
On the generalization error of fixed combinations of classifiers.
Anthony, Martin
Pac learning and artificial neural networks.
Anthony, Martin and Biggs, Norman
Partitioning points by parallel planes.
Anthony, Martin
Partitioning points by parallel planes.
Anthony, Martin
Probabilistic learning of boolean functions.
Anthony, Martin
Probability in machine learning.
Anthony, Martin
Quadratic reformulations of nonlinear binary optimization problems.
Anthony, Martin and Boros, Endre and Crama, Yves and Gruber, Aritanan
Quadratization of symmetric pseudo-Boolean functions.
Anthony, Martin and Boros, Endre and Crama, Yves and Gruber, Aritanan
Quadratization of symmetric pseudo-Boolean functions.
Anthony, Martin and Boros, Endre and Crama, Yves and Gruber, Aritanan
Quantifying accuracy of learning via sample width.
Anthony, Martin and Ratsaby, Joel
Robust cutpoints in the logical analysis of numerical data.
Anthony, Martin and Ratsaby, Joel
Sample width for multi-category classifiers.
Anthony, Martin and Ratsaby, Joel
Some connections between learning and optimization.
Anthony, Martin
Uniform Glivenko-Cantelli theorems and concentration of measure in the mathematical modelling of learning.
Anthony, Martin
Using a similarity measure for credible classification.
Subasi, M. and Subasi, E. and Anthony, Martin and Hammer, P. L.
Using a similarity measure for credible classification.
Anthony, Martin and Hammer, P. L. and Subasi, E. and Subasi, M.
Using boxes and proximity to classify data into several categories.
Anthony, Martin and Ratsaby, Joel
The beauty of maths.
Anthony, Martin
A hybrid classifier based on boxes and nearest neighbors.
Anthony, Martin and Ratsaby, Joel
The influence of opposite examples and randomness on the generalization complexity of Boolean functions.
Franco, Leonardo and Anthony, Martin
The influence of oppositely classified examples on the generalization complexity of Boolean functions.
Anthony, Martin and Franco, Leonardo
A new constructive approach for creating all linearly separable (threshold) functions.
Franco, L. and Subirats, J.L. and Anthony, Martin and Jerez, J.M.
A new imputation method for incomplete binary data.
Subasi, Munevver Mine and Subasi, Ersoy and Anthony, Martin and Hammer, Peter L.
A new imputation method for incomplete binary data.
Subasi, Mine and Subasi, Ersoy and Anthony, Martin and Hammer, P.L.
A new imputation method for incomplete binary data.
Subasi, Munevver Mine and Subasi, Ersoy and Anthony, Martin and Hammer, Peter L.
The performance of a new hybrid classifier based on boxes and nearest neighbors.
Anthony, Martin and Ratsaby, Joel
The performance of a new hybrid classifier based on boxes and nearest neighbors.
Anthony, Martin and Ratsaby, Joel
A probabilistic approach to case-based inference.
Anthony, Martin and Ratsaby, Joel
The sample complexity and computational complexity of Boolean function learning.
Anthony, Martin