Material Detail

Recent Advances in Large Linear Classification

Recent Advances in Large Linear Classification

This video was recorded at The 5th Asian Conference on Machine Learning (ACML), Canberra 2013. Linear classification is a useful tool in machine learning and data mining. For some data in a rich dimensional space, the prediction performance of linear classifiers has shown to be close to that of nonlinear classifiers such as kernel methods, but training and testing speed is much faster. Recently, many research works have proposed efficient optimization methods to construct linear classifiers. We briefly discuss some of them that were considered in our development of the software LIBLINEAR. We then move to discuss some extensions of linear classification. In particular, linear classifiers can be useful to either directly or indirectly approximate kernel classifiers. I will show some real-word... 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.
hidden