Sparse Connectivity and Activity Using Sequential Feature Selection in Supervised Learning.
Fariba NasiriyanHassan KhotanlouPublished in: Appl. Artif. Intell. (2018)
Keyphrases
- supervised learning
- feature selection
- unsupervised learning
- sparse pca
- machine learning
- supervised and unsupervised learning
- web image annotation
- training samples
- high dimension
- text categorization
- feature set
- training data
- semi supervised
- sparse representation
- feature extraction
- high dimensionality
- text classification
- mutual information
- multi class
- classification accuracy
- feature selection algorithms
- sparse data
- dimensionality reduction
- active learning
- sparse coding
- multiple instance learning
- semi supervised learning
- learning tasks
- small sample
- compressive sensing
- labeled data
- training examples
- high dimensional
- method for feature selection
- learning algorithm
- support vector
- irrelevant features
- activity patterns
- human activities
- unsupervised feature selection
- face recognition
- instance selection
- feature weighting
- selected features
- feature subset
- reinforcement learning
- data sets
- model selection
- feature space
- generalization error
- class labels
- supervised machine learning
- similarity measure
- training set
- neural network