Unsupervised Learning by Backward Inhibition

Hrycej, Tomas

Unsupervised Learning by Backward Inhibition

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Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Parallel and Distributed Processing. Pages 170-174.

Abstract

Backward inhibition in a two-layer connectionist network can be used as an alternative to, or an enhancement of, the competitive model for unsupervised learning. Two feature discovery algorithms based on backward inhibition are presented. It is shown that they are superior to the competitive feature discovery algorithm in feature independence and controllable grain. Moreover, the representation in the feature layer is distributed, and a certain "classification hierarchy" is defined by the features discovered.

Tomas Hrycej. 1989. Unsupervised Learning by Backward Inhibition. In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89. IJCAI, 170–174. https://ijcai.org/proceedings/1989/27

@inproceedings{ijcai1989p27,
  title     = {Unsupervised Learning by Backward Inhibition},
  author    = {Hrycej, Tomas},
  booktitle = {Proceedings of the Eleventh International Joint Conference on
               Artificial Intelligence, {IJCAI-89}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {N. S. Sridharan},
  pages     = {170--174},
  year      = {1989},
  month     = {8},
  note      = {Parallel and Distributed Processing},
  url       = {https://ijcai.org/proceedings/1989/27},
}

TY  - CPAPER
TI  - Unsupervised Learning by Backward Inhibition
AU  - Hrycej, Tomas
T2  - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89
PB  - International Joint Conferences on Artificial Intelligence
PY  - 1989
SP  - 170
EP  - 174
UR  - https://ijcai.org/proceedings/1989/27
ER  -