Convergence properties and stationary points of a perceptron learning algorithm.
John J. ShynkSumit RoyPublished in: Proc. IEEE (1990)
Keyphrases
- learning algorithm
- stationary points
- convergence analysis
- objective function
- learning rules
- fixed point
- machine learning algorithms
- mathematical programming
- machine learning
- constrained optimization
- perceptron algorithm
- reinforcement learning
- training data
- learning rate
- pairwise
- maximum margin
- polynomial equations
- nonlinear programming
- convergence rate
- learning problems
- learning tasks
- dynamical systems
- graphical models
- support vector