Stochastic correlative learning algorithms.
Simon HaykinZhe ChenSuzanna BeckerPublished in: IEEE Trans. Signal Process. (2004)
Keyphrases
- learning algorithm
- machine learning algorithms
- data sets
- machine learning
- monte carlo
- training data
- supervised learning
- learning problems
- learning scheme
- learning process
- active learning
- neural network
- stochastic programming
- efficient learning
- learning tasks
- back propagation
- training samples
- bayesian networks
- subspace learning
- information systems
- learning automata
- data mining