When in Doubt: Improving Classification Performance with Alternating Normalization.
Menglin JiaAustin ReiterSer-Nam LimYoav ArtziClaire CardiePublished in: EMNLP (Findings) (2021)
Keyphrases
- preprocessing
- classification accuracy
- pattern recognition
- machine learning
- automatic classification
- classification method
- classification algorithm
- automated classification
- neural network
- classification systems
- classification scheme
- support vector machine
- decision trees
- feature space
- support vector
- correct classification
- supervised learning
- feature set
- image classification
- model selection
- feature extraction
- pattern classification
- similarity measure
- genetic algorithm
- classification process
- feature selection
- document classification
- classification models
- machine learning methods
- training set
- bayesian networks
- benchmark datasets
- image features
- feature vectors