ML Anthology

Cooperation in Knowledge Base Refinement

Gheorghe Tecuci
ICML 1992 pp. 445-450
doi:10.1016/B978-1-55860-247-2.50062-0 /icml/1992/tecuci1992icml-cooperation/

Abstract

This paper presents the knowledge base refinement method of NeoDisciple. The method is based on two levels of cooperation. Internally, different learning strategies cooperate in solving the knowledge base refinement problem. Externally, NeoDisciple and the human expert cooperate in solving the problems that are intrinsically difficult for an autonomous learning system as, for instance, the new terms problem and the blame assignment problem. The goal is to show the adequacy of such an approach for the automation of knowledge acquisition.

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Cite

Text

Tecuci. "Cooperation in Knowledge Base Refinement." International Conference on Machine Learning, 1992. doi:10.1016/B978-1-55860-247-2.50062-0

Markdown

[Tecuci. "Cooperation in Knowledge Base Refinement." International Conference on Machine Learning, 1992.](https://mlanthology.org/icml/1992/tecuci1992icml-cooperation/) doi:10.1016/B978-1-55860-247-2.50062-0

BibTeX

@inproceedings{tecuci1992icml-cooperation,
  title     = {{Cooperation in Knowledge Base Refinement}},
  author    = {Tecuci, Gheorghe},
  booktitle = {International Conference on Machine Learning},
  year      = {1992},
  pages     = {445-450},
  doi       = {10.1016/B978-1-55860-247-2.50062-0},
  url       = {https://mlanthology.org/icml/1992/tecuci1992icml-cooperation/}
}