Now showing items 1-2 of 2

    • Permutation Tests for Classification 

      Mukherjee, Sayan; Golland, Polina; Panchenko, Dmitry (2003-08-28)
      We introduce and explore an approach to estimating statistical significance of classification accuracy, which is particularly useful in scientific applications of machine learning where high dimensionality of the data and ...
    • Support Vector Machines: Training and Applications 

      Osuna, Edgar; Freund, Robert; Girosi, Federico (1997-03-01)
      The Support Vector Machine (SVM) is a new and very promising classification technique developed by Vapnik and his group at AT&T Bell Labs. This new learning algorithm can be seen as an alternative training technique ...