Efficient Neural Network Models and Information Theoretic Feature Extraction in Improved E-Mail Spam Categorization.
Vasilios ZorkadisDimitris A. KarrasM. PanayotouPublished in: IICAI (2005)
Keyphrases
- information theoretic
- neural network model
- feature extraction
- mutual information
- information theory
- theoretic framework
- spam filtering
- anti spam
- neural network
- relative entropy
- log likelihood
- entropy measure
- information bottleneck
- competitive learning
- information theoretic measures
- jensen shannon divergence
- kullback leibler divergence
- multi modality
- minimum description length
- spam e mail
- spam filters
- text categorization
- text mining
- artificial neural networks
- spam detection
- pattern recognition
- face recognition
- email spam
- image processing