Prediction and Variable Selection in High-Dimensional Misspecified Binary Classification.
Konrad FurmanczykWojciech RejchelPublished in: Entropy (2020)
Keyphrases
- variable selection
- binary classification
- high dimensional
- prediction accuracy
- cross validation
- support vector
- generalization error
- multi class
- input variables
- learning problems
- cost sensitive
- support vector machine
- ensemble methods
- dimension reduction
- model selection
- multi label
- binary classifiers
- low dimensional
- high dimensional data
- high dimensionality
- ls svm
- dimensionality reduction
- nearest neighbor
- class imbalance
- feature selection
- feature space
- image classification
- machine learning algorithms
- learning tasks
- image processing
- multiple kernel learning
- machine learning