Ensemble of Adaptations for Classification: Learning Adaptation Rules for Categorical Features.
Vahid JalaliDavid B. LeakeNajmeh ForouzandehmehrPublished in: ICCBR (2016)
Keyphrases
- learning algorithm
- feature vectors
- classification accuracy
- feature construction
- learning phase
- weak learners
- feature extraction
- supervised learning
- benchmark datasets
- visual object recognition
- extracted features
- unsupervised learning
- feature set
- learning process
- prior knowledge
- classification process
- feature subset
- final classification
- selecting features
- pattern recognition
- feature selection
- class labels
- discriminative learning
- classification method
- learning tasks
- supervised learning algorithms
- decision trees
- training data
- ensemble classifier
- machine learning
- eeg signals
- support vector
- learning models
- svm classifier
- neural network
- machine learning algorithms
- training set
- feature values
- classification models
- text classification
- image classification
- active learning