Discriminative Ridge Machine: A Classifier for High-Dimensional Data or Imbalanced Data.
Chong PengQiang ChengPublished in: IEEE Trans. Neural Networks Learn. Syst. (2021)
Keyphrases
- high dimensional data
- imbalanced data
- feature selection
- high dimensionality
- dimensionality reduction
- support vector machine
- nearest neighbor
- decision boundary
- ensemble classifier
- svm classifier
- classification models
- high dimensional
- minority class
- data points
- low dimensional
- decision trees
- original data
- training data
- data analysis
- input data
- ensemble learning
- class distribution
- class imbalance
- feature space
- training set
- data sets
- data distribution
- linear classifiers
- feature set
- linear regression
- ensemble methods
- random forest
- regression problems
- classification accuracy
- support vector
- feature selection algorithms
- missing values
- input space
- feature extraction
- sampling methods
- training samples
- learning algorithm
- unsupervised learning
- text classification
- base learners
- machine learning
- hyperplane
- classification algorithm
- class labels
- k nearest neighbor
- supervised learning
- least squares
- knn
- cost sensitive learning
- neural network