Integrating Probabilistic Rules into Neural Networks: A Stochastic EM Learning Algorithm
Gerhard PaassPublished in: CoRR (2013)
Keyphrases
- neural network
- learning algorithm
- learning rules
- rule extraction
- generative model
- back propagation
- probabilistic model
- probabilistic relational
- boltzmann machines
- training algorithm
- trained neural networks
- pattern recognition
- artificial neural networks
- bayesian networks
- association rules
- fuzzy logic
- rbf network
- expectation maximization
- em algorithm
- neural network model
- decision rules
- hopfield neural network
- learning scheme
- feed forward
- active learning
- mixture model
- maximum likelihood
- hidden units
- neural network structure
- stochastic context free grammars
- production rules
- learning tasks
- neural nets
- uncertain data
- rule sets
- rough sets
- reinforcement learning
- training data
- machine learning
- learning rate
- belief networks
- multilayer perceptron
- feed forward neural networks
- self organizing maps
- unsupervised learning
- training set