Information acquisition performance by supervised information-theoretic self-organizing maps.
Ryotaro KamimuraPublished in: NaBIC (2014)
Keyphrases
- information theoretic
- self organizing maps
- information acquisition
- unsupervised learning
- information theory
- mutual information
- competitive learning
- theoretic framework
- supervised learning
- neural network
- decision making
- information bottleneck
- semi supervised
- neural gas
- learning algorithm
- information theoretic measures
- k means
- entropy measure
- input data
- jensen shannon divergence
- feature selection
- relative entropy
- machine learning
- text categorization
- model selection
- expectation maximization
- feature vectors
- pairwise
- pattern recognition
- similarity measure
- image processing
- computer vision