A Connection between Feed-Forward Neural Networks and Probabilistic Graphical Models.
Dmitrij SchlesingerPublished in: CoRR (2017)
Keyphrases
- probabilistic graphical models
- feed forward neural networks
- graphical models
- neural network
- back propagation
- multi layer
- first order logic
- artificial neural networks
- activation function
- feed forward
- markov networks
- hidden layer
- latent variables
- basis functions
- belief propagation
- exact inference
- belief functions
- probabilistic inference
- parameter learning
- fuzzy inference system
- hidden variables
- probabilistic model
- soft computing
- approximate inference
- image segmentation
- learning rate
- machine learning
- random variables
- recurrent neural networks
- conditional random fields
- bayesian networks
- pattern recognition
- model selection