Stochastic learning methods for dynamic neural networks: simulated and real-data comparisons.
Krzysztof PatanThomas ParisiniPublished in: ACC (2002)
Keyphrases
- simulated and real data
- neural network
- neural nets
- learning algorithm
- learning process
- learning systems
- dynamic environments
- empirical studies
- knowledge acquisition
- supervised learning
- active learning
- online learning
- unsupervised learning
- computational cost
- benchmark datasets
- machine learning methods
- statistical methods
- human experts
- feed forward
- preprocessing
- statistical tests
- inductive inference
- learned models
- data mining