Multi-step Training of a Generalized Linear Classifier
Multi-step Training of a Generalized Linear Classifier is a scholarly work, published in 2018 in ''Neural Processing Letters''. The main subjects of the publication include classifier, Linear classifier, mathematics, Margin classifier, artificial intelligence, computer science, sigmoid function, facial recognition system, system identification, algorithm, artificial neural network, computational intelligence, machine learning, pattern recognition, and Quadratic classifier. The authors propose a multi-step training method for designing generalized linear classifiers.