A hybrid model-based and learning-based approach for classification using limited number of training samples.
Alireza NooraiepourWaheed U. BajwaNarayan B. MandayamPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- hybrid learning
- supervised learning
- learning algorithm
- learning problems
- feature vectors
- learning process
- training samples
- unsupervised learning
- image classification
- online learning
- number of training samples
- learning tasks
- machine learning
- knowledge acquisition
- classification accuracy
- pattern classification
- automatic classification
- decision trees
- learning phase
- collaborative learning
- data sets
- multi class
- support vector machine svm
- benchmark datasets
- learning systems
- pattern recognition
- feature extraction
- incremental learning