A connectionist learning algorithm with provable generalization and scaling bounds.
Stephen I. GallantPublished in: Neural Networks (1990)
Keyphrases
- learning algorithm
- learning machines
- generalization bounds
- generalization ability
- algorithmic stability
- winnow algorithm
- neural network
- perceptron algorithm
- lower bound
- back propagation
- upper bound
- generalization error
- machine learning algorithms
- data dependent
- linear threshold
- training error
- efficient learning
- expert systems
- learning theory
- active learning
- upper and lower bounds
- learning scheme
- training algorithm
- reinforcement learning
- average case
- distributed representations
- learning rate
- learning tasks
- supervised learning
- machine learning
- connectionist learning
- learning process
- confidence bounds
- connectionist models
- lower and upper bounds
- pac bayes
- cognitive model
- model selection
- support vector
- worst case
- vc dimension
- training data
- connectionist networks
- approximation guarantees
- state space
- rbf network
- artificial neural networks
- learning models
- learning problems
- classification algorithm
- multi class