Opposite neighborhood: a new method to select reference points of minimal learning machines

26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2018 Madson Luiz Dantas DiasLucas Silva De SousaAjalmar Rêgo da Rocha NetoAmauri H. de Souza Júnior

This paper introduces a new approach to select reference points in minimal learning machines (MLMs) for classification tasks. The MLM training procedure comprises the selection of a subset of the data, named reference points (RPs), that is used to build a linear regression model between distances taken in the input and output spaces... (read more)

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