Integrating Probabilistic Rules into Neural Networks: A Stochastic EM Learning Algorithm.
Gerhard PaassPublished in: UAI (1991)
Keyphrases
- neural network
- learning algorithm
- learning rules
- rule extraction
- back propagation
- probabilistic model
- generative model
- pattern recognition
- trained neural networks
- stochastic context free grammars
- artificial neural networks
- probabilistic relational
- expectation maximization
- active learning
- rbf network
- hopfield neural network
- uncertain data
- em algorithm
- fuzzy logic
- training data
- genetic algorithm
- rough sets
- feed forward neural networks
- association rule mining
- association rules
- rule sets
- training algorithm
- boltzmann machines
- decision rules
- learning rate
- production rules
- learning classifier systems
- activation function
- fuzzy decision trees
- feed forward
- neural network model
- learning problems
- machine learning algorithms
- bayesian networks
- machine learning
- recurrent neural networks
- multilayer perceptron
- conditional probabilities
- classification rules
- background knowledge
- training examples
- unsupervised learning
- supervised learning
- reinforcement learning