Material Detail

Theory and Applications of Kernel Space

Theory and Applications of Kernel Space

This video was recorded at PASCAL Bootcamp in Machine Learning, Vilanova 2007. Basics of kernel definitions and theory are first given.Then 3 algorithms are described with an explicit reference to the representer theorem: Support vector Mahcines, Support Vector Regression and Kernel Principal Components Analysis. The last course is devoted to examples of kernel design (Mahalanobis kernles and Fisher kernels)... Show More

Quality

  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material

Comments

Log in to participate in the discussions or sign up if you are not already a MERLOT member.