Discriminative Regression Machine: A Classifier for High-Dimensional Data or Imbalanced Data.
Chong PengQiang ChengPublished in: CoRR (2019)
Keyphrases
- high dimensional data
- imbalanced data
- feature selection
- linear regression
- regression problems
- dimensionality reduction
- high dimensionality
- support vector machine
- svm classifier
- nearest neighbor
- ensemble classifier
- base learners
- classification models
- decision boundary
- high dimensional
- minority class
- original data
- data sets
- data analysis
- support vector
- data points
- low dimensional
- data distribution
- class distribution
- linear classifiers
- training data
- decision trees
- ensemble learning
- model selection
- feature space
- feature set
- class imbalance
- random forest
- training set
- training samples
- feature extraction
- missing values
- ensemble methods
- input space
- input data
- sampling methods
- support vector machine svm
- classification algorithm
- least squares
- preprocessing step
- semi supervised
- knn
- base classifiers
- k nearest neighbor
- feature selection algorithms
- feature subset
- principal component analysis
- multi class
- feature vectors
- machine learning
- cost sensitive learning
- data mining
- neural network