Probabilistic Models with Deep Neural Networks.
Andrés R. MasegosaRafael CabañasHelge LangsethThomas D. NielsenAntonio SalmerónPublished in: CoRR (2019)
Keyphrases
- probabilistic model
- neural network
- graphical models
- pattern recognition
- bayesian inference
- latent variables
- deep belief networks
- neural network model
- language model
- back propagation
- conditional random fields
- generative model
- bayesian networks
- expectation maximization
- hidden variables
- probabilistic modeling
- artificial neural networks
- training algorithm
- genetic algorithm
- multilayer perceptron
- network architecture
- fuzzy logic
- fuzzy systems
- neural nets
- recurrent neural networks
- conditional probabilities
- social networks
- global exponential stability
- feedforward neural networks
- deep architectures
- rule extraction
- feed forward
- self organizing maps
- probability distribution
- image processing
- machine learning