ML Anthology

Learning First-Order Definitions of Functions

J. Ross Quinlan
JAIR 1996 pp. 139-161
doi:10.1613/JAIR.308 /jair/1996/quinlan1996jair-learning/

Abstract

First-order learning involves finding a clause-form definition of a relation from examples of the relation and relevant background information. In this paper, a particular first-order learning system is modified to customize it for finding definitions of functional relations. This restriction leads to faster learning times and, in some cases, to definitions that have higher predictive accuracy. Other first-order learning systems might benefit from similar specialization.

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Text

Quinlan. "Learning First-Order Definitions of Functions." Journal of Artificial Intelligence Research, 1996. doi:10.1613/JAIR.308

Markdown

[Quinlan. "Learning First-Order Definitions of Functions." Journal of Artificial Intelligence Research, 1996.](https://mlanthology.org/jair/1996/quinlan1996jair-learning/) doi:10.1613/JAIR.308

BibTeX

@article{quinlan1996jair-learning,
  title     = {{Learning First-Order Definitions of Functions}},
  author    = {Quinlan, J. Ross},
  journal   = {Journal of Artificial Intelligence Research},
  year      = {1996},
  pages     = {139-161},
  doi       = {10.1613/JAIR.308},
  volume    = {5},
  url       = {https://mlanthology.org/jair/1996/quinlan1996jair-learning/}
}