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Novelty detection based on learning entropy
(John Wiley & Sons, 2020)The Approximate Individual Sample Learning Entropy is based on incremental learning of a predictor x(k+h)=f(x(k),w), where x(k)is an input vector of a given size at time k, w is a vector of weights (adaptive parameters), ...