Information-Theoretic Model Selection for Independent Components.
Claudia PlantFabian J. TheisAnke Meyer-BäseChristian BöhmPublished 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