Enriching the random subspace method with margin theory - a solution for the high-dimensional classification task.
Hongyan XuTao LinYingtao XieZhi ChenPublished in: Connect. Sci. (2018)
Keyphrases
- high dimensional
- support vector
- pattern recognition
- high dimensionality
- classification accuracy
- decision trees
- feature space
- pattern classification
- training set
- text classification
- image classification
- dimension reduction
- theoretical framework
- classification systems
- feature extraction
- variable selection
- machine learning
- low dimensional
- classification algorithm
- classification scheme
- classification models
- small sample size
- decision boundary
- data sets
- benchmark datasets
- preprocessing
- learning algorithm
- machine learning methods
- training samples
- model selection
- feature set
- supervised learning
- generalization ability
- support vector machine
- automatic classification
- feature vectors
- high dimension
- high dimensional feature space
- neural network