An Approach to Concept Learning Based on Term Generalization

Markov, Zdravko

doi:10.1016/B978-1-55860-247-2.50044-9

An Approach to Concept Learning Based on Term Generalization

Zdravko Markov

ICML 1992 pp. 310-315

doi:10.1016/B978-1-55860-247-2.50044-9 /icml/1992/markov1992icml-approach/

Abstract

The paper presents an approach to concept learning in the framework of a distributed logic programming system, called Net-clause language (NCL). NCL provides built-in mechanisms for term generalization and data-driven deductive inference, which are also basic features of the discussed approach to learning. The approach is illustrated by solving a kind of a learning-from-examples problem for recognition of geometric figures.

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Cite

Text

Markov. "An Approach to Concept Learning Based on Term Generalization." International Conference on Machine Learning, 1992. doi:10.1016/B978-1-55860-247-2.50044-9

Markdown

[Markov. "An Approach to Concept Learning Based on Term Generalization." International Conference on Machine Learning, 1992.](https://mlanthology.org/icml/1992/markov1992icml-approach/) doi:10.1016/B978-1-55860-247-2.50044-9

BibTeX

@inproceedings{markov1992icml-approach,
  title     = {{An Approach to Concept Learning Based on Term Generalization}},
  author    = {Markov, Zdravko},
  booktitle = {International Conference on Machine Learning},
  year      = {1992},
  pages     = {310-315},
  doi       = {10.1016/B978-1-55860-247-2.50044-9},
  url       = {https://mlanthology.org/icml/1992/markov1992icml-approach/}
}