Knowledge Extraction from XCSR Based on Dimensionality Reduction and Deep Generative Models.
Masakazu TadokoroSatoshi HasegawaTakato TatsumiHiroyuki SatoKeiki TakadamaPublished in: CEC (2019)
Keyphrases
- knowledge extraction
- generative model
- dimensionality reduction
- continuous action
- probabilistic model
- knowledge discovery
- low dimensional
- em algorithm
- high dimensional
- feature extraction
- deep belief networks
- prior knowledge
- principal component analysis
- data representation
- discriminative models
- semi supervised
- hierarchical hidden markov models
- deep learning
- data mining
- unsupervised learning
- discriminative learning
- feature selection
- policy search
- conditional random fields
- expectation maximization
- hidden variables
- metric learning
- generative and discriminative models
- topic models
- continuous state
- semi supervised learning
- supervised dimensionality reduction
- information extraction
- reinforcement learning