Fine tuning of adaptive learning of deep belief network for misclassification and its knowledge acquisition.
Shin KamadaTakumi IchimuraPublished in: Int. J. Comput. Intell. Stud. (2017)
Keyphrases
- adaptive learning
- fine tuning
- knowledge acquisition
- deep belief networks
- machine learning
- deep learning
- unsupervised learning
- probabilistic model
- expert systems
- restricted boltzmann machine
- domain experts
- knowledge representation
- hierarchical models
- learning objects
- knowledge base
- generative model
- learning resources
- learning activities
- sparse coding
- concept maps
- learning content
- e learning
- learning environment
- data mining
- reinforcement learning
- probabilistic graphical models
- student model
- object recognition