Slides: Learning with Random Projections, Random Projections for Machine Learning and Data Mining: Theory & Applications

Following up on Friday's The Unreasonable Effectiveness of Random Projections in Computer Science here are two series of slides:

 

Learning with Random Projections by Ata Kaban. The outline of the slides features the following subject;

• Introduction to compressive learning
• Compressive classification
• Compressive regression
• Ensembles 

 

And earlier, a tutorial for Random Projections for Machine Learning and Data Mining: Theory & Applications from Bob Durrant and Ata Kaban. (Handouts (6 Slides per page) ). This is from the website for the ECML PKDD 2012 tutorial.

    Join the CompressiveSensing subreddit or the Google+ Community or the Facebook page and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.