Information-Theoretic Model Selection for Independent Components.

Claudia Plant Fabian J. Theis Anke Meyer-Bäse Christian Böhm

Published in: LVA/ICA (2010)

Keyphrases

model selection
information theoretic
independent components
independent component analysis
cross validation
mutual information
information theory
factor analysis

hyperparameters
sample size
parameter estimation
blind source separation
feature selection
machine learning
principal components

feature vectors
feature space
variable selection
principal component analysis
selection criterion
log likelihood
unsupervised learning

signal processing
semi supervised
gaussian process
mixture model
similarity measure
image processing
text categorization