On using novel "Anti-Bayesian" techniques for the classification of dynamical data streams.
Hugo Lewi HammerAnis YazidiB. John OommenPublished in: CEC (2017)
Keyphrases
- data streams
- anytime classification
- sliding window
- classification accuracy
- support vector
- pattern classification
- data stream classification
- machine learning
- automatic classification
- pattern recognition
- classification method
- benchmark datasets
- classification systems
- image classification
- concept drifting data streams
- posterior probability
- model selection
- bayesian networks
- prior probabilities
- feature extraction
- training samples
- bayesian methods
- classification rules
- machine learning methods
- data distribution
- support vector machine svm
- unsupervised learning
- sensor networks
- query processing
- feature vectors
- preprocessing
- decision trees
- feature selection