Boosting Ridge Regression for High Dimensional Data Classification.
Jakramate BootkrajangPublished in: CoRR (2020)
Keyphrases
- high dimensional data
- high dimensionality
- ridge regression
- dimension reduction
- dimensionality reduction
- feature selection
- low dimensional
- nearest neighbor
- high dimensional
- subspace clustering
- support vector machine
- pattern recognition
- classification accuracy
- data sets
- multivariate temporal data
- data points
- manifold learning
- machine learning
- data analysis
- feature space
- support vector
- classification algorithm
- decision trees
- linear discriminant analysis
- locally linear embedding
- variable selection
- cost sensitive
- data mining
- missing values
- feature vectors
- training set
- class labels
- naive bayes
- linear regression
- text classification
- ensemble methods
- input data
- k nearest neighbour
- feature extraction
- learning algorithm