Items where Author is "Ratsaby, Joel"

Number of items: 19.
Article
  • Large-width machine learning algorithm. (2020) Anthony, Martin; Ratsaby, Joel picture_as_pdf
  • Classification based on prototypes with spheres of influence. Anthony, Martin; Ratsaby, Joel
  • Large width nearest prototype classification on general distance spaces. Anthony, Martin; Ratsaby, Joel
  • Large-width bounds for learning half-spaces on distance spaces. Anthony, Martin; Ratsaby, Joel
  • Learning bounds via sample width for classifiers on finite metric spaces. Anthony, Martin; Ratsaby, Joel
  • Maximal width learning of binary functions. Anthony, Martin; Ratsaby, Joel
  • Multi-category classifiers and sample width. Anthony, Martin; Ratsaby, Joel
  • Robust cutpoints in the logical analysis of numerical data. Anthony, Martin; Ratsaby, Joel
  • A hybrid classifier based on boxes and nearest neighbors. Anthony, Martin; Ratsaby, Joel
  • A probabilistic approach to case-based inference. Anthony, Martin; Ratsaby, Joel
    • Chapter
  • Maximal-margin case-based inference. Anthony, Martin; Ratsaby, Joel
  • Quantifying accuracy of learning via sample width. Anthony, Martin; Ratsaby, Joel
    • Conference or Workshop Item
  • The performance of a new hybrid classifier based on boxes and nearest neighbors. Anthony, Martin; Ratsaby, Joel
    • Report
  • Large margin case-based reasoning. Anthony, Martin; Ratsaby, Joel
  • Learning on finite metric spaces. Anthony, Martin; Ratsaby, Joel
  • Maximal width learning of binary functions. Anthony, Martin; Ratsaby, Joel
  • Sample width for multi-category classifiers. Anthony, Martin; Ratsaby, Joel
  • Using boxes and proximity to classify data into several categories. Anthony, Martin; Ratsaby, Joel
  • The performance of a new hybrid classifier based on boxes and nearest neighbors. Anthony, Martin; Ratsaby, Joel