Optimal Support Vector Selection for Kernel Perceptrons

Posted in Science on August 11, 2008


Optimal Support Vector Selection for Kernel Perceptrons

Lecture slides:

  • Objectives
  • Support Vector Machines
  • Convex Hull Norm Minimization
  • Schlesinger-Kozinec (SK) Algorithm
  • Kernel SK
  • Support vector selection
  • Support Vector Removal Method
  • Numerical Experiments
  • Results
  • Heart Disease Results
  • Wisconsin Breast Cancer Results
  • Ionosphere Results
  • Pima Indian Diabetes Results
  • Heart Disease Evolution
  • Wisconsin Breast Cancer Disease Evolution
  • Ionosphere Evolution
  • Pima Indian Diabetes Evolution
  • Conclusions

Author: Daniel García, Universidad Autónoma de Madrid

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Tags: Science, Lectures, Computer Science, Machine Learning, VideoLectures.Net, Kernel Methods