Gaussian Process Binary Classification Pseudo Code
3 views (last 30 days)
Show older comments
I am working with various inference methods for classification. Currently I am trying to combine MCMC for producing samples from a posterior distribution with with a Gaussian Process binary classifier. However, I am struggling at how a pseudo code may look. I have successfully implemented the MCMC algorithm and have generated the relevant posterior samples. Now I don't know how to implement the GP classifier once I have these samples. The co-variance function is the squared error function and the mean function is zero.
Any help/tips would be greatly appreciated
0 Comments
Answers (1)
See Also
Categories
Find more on Statistics and Machine Learning Toolbox in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!