Ensembles of classifiers based on dimensionality reduction.
Alon SchclarLior RokachAmir AmitPublished in: Intell. Data Anal. (2017)
Keyphrases
- dimensionality reduction
- ensemble learning
- decision trees
- classifier ensemble
- semi supervised dimensionality reduction
- ensemble classifier
- diversity measures
- weighted voting
- feature selection
- multiple classifier systems
- combining classifiers
- multiple classifiers
- high dimensional
- pattern recognition
- high dimensionality
- imbalanced data
- feature extraction
- low dimensional
- feature ranking
- feature space
- dimensionality reduction methods
- training data
- majority voting
- naive bayes
- high dimensional data
- ensemble methods
- classification systems
- linear classifiers
- data representation
- training set
- principal components
- linear discriminant analysis
- random forest
- semi supervised
- classifier combination
- training samples
- support vector
- base classifiers
- ensemble members
- kernel learning
- machine learning methods
- machine learning algorithms
- feature set
- principal component analysis
- random forests
- face recognition
- support vector machine
- image processing
- machine learning