High-Dimensional Classification by Sparse Logistic Regression.
Felix AbramovichVadim GrinshteinPublished in: IEEE Trans. Inf. Theory (2019)
Keyphrases
- high dimensional
- feature space
- machine learning
- decision trees
- pattern classification
- automatic classification
- pattern recognition
- classification scheme
- feature vectors
- decision rules
- support vector machine
- support vector
- neural network
- preprocessing
- feature extraction
- dimension reduction
- benchmark datasets
- supervised classification
- classification rate
- classification models
- high dimensionality
- machine learning methods
- small sample
- classification method
- cross validation
- similarity search
- text classification
- low dimensional
- image classification
- multi dimensional
- nearest neighbor
- knn
- classification accuracy
- training set