Login / Signup

The learning behavior of single neuron classifiers on linearly separable or nonseparable input.

Mitra BasuTin Kam Ho
Published in: IJCNN (1999)
Keyphrases
  • support vector
  • reinforcement learning
  • single neuron
  • learning algorithm
  • linear classifiers
  • neural network
  • training data
  • feature set
  • machine learning algorithms
  • decision boundary
  • kernel machines
  • linearly separable