A Comparison of Support Vector Machines, Memory-based and Naïve Bayes Techniques on Spam Recognition.
Gülsen EryigitA. Cüneyd TantugPublished in: Artificial Intelligence and Applications (2005)
Keyphrases
- support vector
- bayes classifiers
- bayes classifier
- learning machines
- tree augmented
- bayesian classifiers
- logistic regression
- large margin classifiers
- feature selection
- recognition rate
- multi class
- object recognition
- bayesian networks
- naive bayes classifier
- support vector machine
- bayesian network classifiers
- recognition accuracy
- pattern recognition
- cross validation
- activity recognition
- rule learning
- recognition algorithm
- kernel function
- neural network
- classification accuracy
- decision trees
- action recognition
- loss function
- spam detection
- automatic recognition
- feature extraction
- bayes classification
- recognition process
- spam filtering
- bayesian methods
- generalization ability
- hyperplane
- radial basis function
- kernel methods
- text classification