Voted perceptron classifier
W = VPC(A)
The classifier trains an ensemble of perceptrons on dataset A. The training procedure performs N full sweeps through the training data. If N is not specified, 10 sweeps are performed. The total number of perceptrons in the ensemble is equal to N x GETSIZE(A, 1).
The classification of new objects is performed by allowing the ensemble of perceptrons to vote on the label of each test point.
Y. Freund and R.E. Schapire. Large Margin Classification Using the Perceptron Algorithm. Machine Learning 37(3):277-296, 1999.