Neural networks and principal component analysis: Learning from examples without local minima.
Pierre BaldiKurt HornikPublished in: Neural Networks (1989)
Keyphrases
- neural network
- learning algorithm
- principal component analysis
- learning process
- learning tasks
- connectionist systems
- learning rules
- positive examples
- principal components
- machine learning
- discriminant analysis
- dimensionality reduction
- learning scheme
- support vector
- training data
- feedforward neural networks
- neural learning