Supervised Learning of Probability Distributions by Neural Networks.
Eric B. BaumFrank WilczekPublished in: NIPS (1987)
Keyphrases
- probability distribution
- neural network
- supervised learning
- pattern recognition
- random variables
- bayesian networks
- unsupervised learning
- artificial neural networks
- active learning
- genetic algorithm
- back propagation
- fuzzy logic
- training data
- supervised classification
- reinforcement learning
- fuzzy systems
- semi supervised learning
- multilayer perceptron
- learning algorithm
- learning problems
- training process
- feedforward neural networks
- feed forward
- conditional probabilities
- learning tasks
- training examples
- training set
- radial basis function
- fault diagnosis
- recurrent neural networks
- nearest neighbor
- hidden layer
- network architecture
- decision making
- multiple instance learning
- computer vision