Where to Pay Attention in Sparse Training for Feature Selection?
Ghada SokarZahra AtashgahiMykola PechenizkiyDecebal Constantin MocanuPublished in: NeurIPS (2022)
Keyphrases
- feature selection
- sparse pca
- classification performances
- training set
- text categorization
- feature selection and classifier
- training process
- web image annotation
- high dimension
- training phase
- sparse coding
- unsupervised learning
- linear svm
- sparse data
- test set
- training examples
- mutual information
- avoid overfitting
- high dimensional
- feature space
- support vector
- feature extraction
- back propagation
- feature ranking
- feature selection algorithms
- training algorithm
- classification models
- gene expression data
- neural network
- training samples
- multi class
- support vector machine
- knn
- classification accuracy
- training data
- machine learning