The Theory of Probabilistic Hierarchical Supervised Learning for Classification.
Ziauddin UrsaniPublished in: IEEM (2023)
Keyphrases
- supervised learning
- unsupervised learning
- supervised machine learning
- statistical learning
- class labels
- accurate classification
- training samples
- classification accuracy
- training set
- machine learning
- hierarchical classification
- pattern classification
- text classification
- learning algorithm
- feature extraction
- classification scheme
- active learning
- automatic classification
- training data
- hierarchical structure
- classification method
- classification process
- classification systems
- bayesian networks
- classification models
- uncertain data
- reinforcement learning
- probability theory
- decision trees
- theoretical framework
- support vector
- pattern recognition
- labeled data
- support vector machine
- image classification
- supervised and unsupervised learning
- restricted boltzmann machine
- semi supervised
- decision theory
- classification rules
- machine learning methods
- classification algorithm
- cross validation
- benchmark datasets
- model selection