A geometric learning algorithm for elementary perceptron and its convergence analysis.
Seiji MiyoshiKenji NakayamaPublished in: ICNN (1997)
Keyphrases
- convergence analysis
- learning algorithm
- global convergence
- optimality conditions
- perceptron algorithm
- training data
- machine learning
- reinforcement learning
- machine learning algorithms
- active learning
- training samples
- back propagation
- learning rate
- learning rules
- learning problems
- global optimum
- learning tasks
- supervised learning
- maximum margin
- temporal difference
- learning models
- approximation methods
- genetic algorithm