Sparse solution of least-squares twin multi-class support vector machine using ℓ0 and ℓp-norm for classification and feature selection.
Hossein MoosaeiMilan HladíkPublished in: Neural Networks (2023)
Keyphrases
- multi class support vector machine
- feature selection
- least squares
- classification accuracy
- multi class support vector machines
- feature extraction
- feature set
- feature space
- text classification
- feature selection algorithms
- classification models
- support vector machine
- machine learning
- feature subset
- high dimensionality
- text categorization
- model selection
- support vector
- classification method
- irrelevant features
- pattern recognition
- supervised learning
- sparse pca
- decision trees
- image classification
- feature vectors
- discriminative features
- feature selection and classification
- dimensionality reduction
- fall detection