Probabilistic Models with Deep Neural Networks.
Andrés R. MasegosaRafael CabañasHelge LangsethThomas D. NielsenAntonio SalmerónPublished in: Entropy (2021)
Keyphrases
- probabilistic model
- neural network
- graphical models
- generative model
- deep belief networks
- language model
- hidden variables
- pattern recognition
- bayesian inference
- multi layer
- artificial neural networks
- bayesian networks
- conditional random fields
- feedforward neural networks
- feed forward
- latent variables
- expectation maximization
- self organizing maps
- fuzzy logic
- training process
- genetic algorithm
- competitive learning
- multi layer perceptron
- decision making
- neural nets
- recurrent neural networks
- back propagation
- neural network model
- topic models
- pairwise
- learning rules
- rule extraction
- artificial intelligence
- deep learning
- probabilistic modeling