Multi-view Ensemble Learning: A Supervised Feature Set Partitioning for High Dimensional Data Classification.
Vipin KumarSonajharia MinzPublished in: WCI (2015)
Keyphrases
- multi view
- high dimensional data
- ensemble learning
- high dimensionality
- generalization ability
- semi supervised
- dimensionality reduction
- nearest neighbor
- feature selection
- unlabeled data
- supervised learning
- high dimensional
- low dimensional
- small sample size
- feature set
- feature vectors
- ensemble methods
- labeled and unlabeled data
- data analysis
- d objects
- data points
- unsupervised learning
- data distribution
- data sets
- classification accuracy
- support vector machine svm
- machine learning
- support vector
- learning algorithm
- pattern recognition
- base classifiers
- class labels
- feature extraction
- semi supervised learning
- labeled data
- linear discriminant analysis
- support vector machine
- feature subset
- input data
- computer vision
- image classification
- multi class
- training samples
- svm classifier
- decision trees
- feature space
- text classification
- neural network
- naive bayes
- random forest
- training set
- high resolution
- model selection
- microarray
- sample size
- machine learning algorithms