Where to Pay Attention in Sparse Training for Feature Selection?
Ghada SokarZahra AtashgahiMykola PechenizkiyDecebal Constantin MocanuPublished in: CoRR (2022)
Keyphrases
- feature selection
- text categorization
- avoid overfitting
- model selection
- sparse pca
- training process
- multi class
- machine learning
- feature selection and classifier
- web image annotation
- high dimension
- training set
- data sets
- online learning
- dimensionality reduction
- feature extraction
- test set
- sparse representation
- classification performances
- compressed sensing
- multi task
- selected features
- support vector machine
- training data
- knn
- compressive sensing
- discriminative features
- sparse data
- text classifiers
- image classification
- information gain
- high dimensionality
- cross validation
- supervised learning
- training samples
- unsupervised learning
- text classification