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    • Є-insensitive Unsupervised Learning 

      Fyfe, C.; Gabrys, B. (BPI, 1999)
      One of the major paradigms for unsupervised learning in Artificial Neural Networks is Hebbian learning. The standard implementations of Hebbian learning are optimal under the assumptions of Gaussian noise in a data set. We derive e-insensitive Hebbian learning based on minimising the least absolute ...