Lorenzo Rosasco: Learning Theory, Part 3 (variable selection (OMP), dimensionality reduction (PCA))

Lorenzo Rosasco: Learning Theory, Part 3 (variable selection (OMP), dimensionality reduction (PCA))

Date Posted: 

May 30, 2014

Date Recorded: 

May 30, 2014

CBMM Speaker(s): 

  • All Captioned Videos
  • Brains, Minds and Machines Summer Course 2014

Associated CBMM Pages: 

Description: 

Topics: Determining which variables are important for prediction (e.g. given n patients and p genes, which genes are most important for prediction), sparsity (only some coefficients are non-zero), brute force, greedy approaches/matching pursuit, basis pursuit/lasso, unsupervised learning, dimensionality reduction, PCA

Associated Research Thrust: