Material Detail



This video was recorded at 27th International Conference on Machine Learning (ICML), Haifa 2010. The OpenKernel library is an open-source software library for designing, combining, learning and using kernels for machine learning applications The library supports the design and use of kernels defined over dense and sparse real vectors, as well as over sequences or distributions of sequences. For dense and sparse features, the library provides implementation of the classical kernels: linear, polynomial, Gaussian and sigmoid. For sequences and distributions of sequences, the library implements the rational kernel framework of Cortes et al. (JMLR, 2004). The library supplies the following sequence kernels: n -gram kernels, gappy n-gram kernels, mismatch kernels (Leslie et al., 2004), and gives... Show More


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

More about this material


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