Introducing the Theory of Probabilistic Hierarchical Learning for Classification.
Ziauddin UrsaniJo DicksPublished in: IEA/AIE (2019)
Keyphrases
- unsupervised learning
- supervised learning
- learning algorithm
- pattern recognition
- classification accuracy
- incremental learning
- learning phase
- uncertain data
- machine learning algorithms
- knowledge acquisition
- learning process
- feature space
- reinforcement learning
- machine learning
- pattern classification
- theoretical framework
- restricted boltzmann machine
- feature selection
- learning systems
- preprocessing
- learning theories
- discriminative learning
- hierarchical classification
- decision trees
- rule learning
- automatic classification
- statistical learning
- probabilistic model
- multi class
- classification method
- decision rules
- learning experience
- training samples
- class labels