Material Detail

An Exchanging-based Refinement to Sparse Gaussian Process Regression

An Exchanging-based Refinement to Sparse Gaussian Process Regression

This video was recorded at Gaussian Processes in Practice Workshop, Bletchley Park 2006. We propose a backward deletion procedure to Sparse Gaussian Process Regression (SGPR) model, which can be used to refine a number of se- quential forward selection algorithms addressed recently. Some experi- mental results demonstrate the effectiveness of our approach.
Rate

Quality

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

More about this material

Browse...

Disciplines with similar materials as An Exchanging-based Refinement to Sparse Gaussian Process Regression

Comments

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