Feature Selection via L1-Penalized Squared-Loss Mutual Information
Wittawat JitkrittumHirotaka HachiyaMasashi SugiyamaPublished in: CoRR (2012)
Keyphrases
- mutual information
- feature selection
- squared loss
- conditional mutual information
- information theoretic
- information gain
- multi modal image registration
- model selection
- image registration
- similarity measure
- medical image registration
- statistical dependence
- maximum likelihood
- least squares
- classification accuracy
- text categorization
- support vector
- text classification
- variable selection
- feature extraction
- data mining
- machine learning
- multi class
- data sets
- loss function
- multimodal image registration
- feature weighting
- kullback leibler divergence
- multi modality
- computer vision
- feature space
- maximization of mutual information
- method for feature selection
- information theoretic criterion
- mutual information maximization
- cross validation
- information theoretic measures
- shannon entropy
- normalized mutual information
- unsupervised feature selection
- feature selection algorithms
- rough sets
- pattern recognition
- neural network