The generalization error of a perceptron is the probability of the student perceptron to classify an example differently from the teacher and is given by the overlap of the student and teacher synaptic vectors and is a function of their scalar ...
The separating hyperplane is the hyperplane that maximizes the distance between the two parallel hyperplanes. An assumption is made that the larger the margin or distance between these parallel hyperplanes the better the generalization error of the ...
 See also: Machine learning, Perceptron, Generalization, Percept, Classification
  
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