Items where Author is "Anthony, Martin"

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