Information Theory Based Feature Valuing for Logistic Regression for Spam Filtering.
Haoliang QiXiaoning HeYong HanMuyun YangSheng LiPublished in: IALP (2010)
Keyphrases
- logistic regression
- information theory
- spam filtering
- information theoretic
- text classification
- decision trees
- naive bayes
- support vector
- jensen shannon divergence
- credit scoring
- conditional entropy
- anti spam
- statistical learning
- shannon entropy
- logistic regression models
- linear support vector machines
- spam filters
- relative entropy
- odds ratio
- kullback leibler divergence
- loss function
- mutual information
- linear svm
- logistic model
- pairwise
- chi square test
- classification trees
- data sets
- machine learning