Bayesian Sparse Partial Least Squares.

Diego Vidaurre Marcel A. J. van Gerven Concha Bielza Pedro Larrañaga Tom Heskes

Published in: Neural Comput. (2013)

Keyphrases

partial least squares
canonical correlation analysis
dimension reduction
discriminant analysis
principal component regression
high dimensional
bayesian inference
bayesian networks
principal component analysis
ls svm
machine learning
feature extraction