Multi-view ensemble learning: an optimal feature set partitioning for high-dimensional data classification.
Vipin KumarSonajharia MinzPublished in: Knowl. Inf. Syst. (2016)
Keyphrases
- multi view
- high dimensional data
- ensemble learning
- high dimensionality
- generalization ability
- dimensionality reduction
- high dimensional
- nearest neighbor
- low dimensional
- data sets
- feature vectors
- small sample size
- ensemble methods
- d objects
- feature subset
- pattern recognition
- support vector machine
- classification accuracy
- feature space
- semi supervised
- data points
- data analysis
- decision trees
- feature selection
- base classifiers
- data distribution
- dynamic programming
- training set
- feature set
- machine learning
- support vector machine svm
- linear discriminant analysis
- classification algorithm
- unsupervised learning
- input data
- text classification
- microarray data
- benchmark datasets
- face recognition
- feature extraction
- support vector
- concept drift
- supervised learning
- class labels
- semi supervised learning
- image classification
- object recognition
- data streams
- training data
- computer vision
- learning algorithm
- neural network