When are the most informative components for inference also the principal components?
Raj Rao NadakuditiPublished in: CoRR (2013)
Keyphrases
- principal components
- independent components
- principal component analysis
- dimensionality reduction
- multivariate data
- spectral data
- correlation coefficient
- hyperplane
- kernel principal component analysis
- probabilistic inference
- principal component regression
- principal components analysis
- feature set
- bayesian networks
- bayesian inference
- covariance matrix
- low dimensional
- feature space
- machine learning