An SMO-like algorithm for Kernel Conditional Random Fields

Posted in Science on August 03, 2008


An SMO-like algorithm for Kernel Conditional Random Fields

Lecture slides:

  • Linear classification
  • Motivation
  • Multinomial logistic regression
  • Multinomial logistic regression (primal)
  • Multinomial logistic regression (dual)
  • Sequential minimal optimization
  • SMO
  • Experiments (USPS)
  • Conditional random fields
  • Conclusions
  • References

Author: Roland Memisevic, University of Toronto

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