Autoencoding with a Learning Classifier System: Initial Results

07/26/2019

∙

by   Larry Bull, et al.

∙

3

∙

share

Autoencoders enable data dimensionality reduction and a key component of many (deep) learning systems. This short paper introduces a form of Holland's Learning Classifier System (LCS) to perform autoencoding building upon a previously presented form of LCS that utilises unsupervised learning for clustering. Initial results using a neural network representation suggest it is an effective approach to reduction.