Broad Autoencoder Features Learning for Classification Problem.
Ting WangWing W. Y. NgWendi LiSam KwongPublished in: Int. J. Cogn. Informatics Nat. Intell. (2021)
Keyphrases
- feature set
- supervised learning
- feature vectors
- feature extraction
- classification accuracy
- classification method
- feature construction
- visual object recognition
- unsupervised learning
- classification process
- supervised learning algorithms
- learning process
- feature space
- decision trees
- incremental learning
- learning phase
- text classification
- prior knowledge
- extracted features
- benchmark datasets
- class labels
- multi category
- classification models
- learning algorithm
- learning models
- feature values
- selecting features
- extracting features
- learning problems
- learning tasks
- machine learning algorithms
- model selection
- image classification
- image features
- support vector machine
- training set
- support vector
- machine learning
- learning systems
- feature selection algorithms
- eeg signals
- online learning
- graphical models
- positive and unlabeled examples