A Comparison Between Statistical and Symbolic Learning Approaches for Generative Policy Models.
Graham WhiteDaniel CunningtonMark LawElisa BertinoGeeth de MelAlessandra RussoPublished in: ICMLA (2019)
Keyphrases
- learning models
- associative learning
- learned models
- learning process
- statistical methods
- learning systems
- prior knowledge
- discriminative methods
- accurate models
- structured prediction
- discriminative learning
- hidden variables
- unsupervised learning
- learning paradigms
- learning algorithm
- bayesian methods
- connectionist systems
- learning tasks
- generative model
- model selection
- supervised learning
- active learning
- learning problems
- learning rules
- statistical approaches
- data driven
- graphical models
- connectionist models
- machine learning