ML Anthology

Graph Based Concept Learning

Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Cook
AAAI 2000 pp. 1072
/aaai/2000/gonzalez2000aaai-graph/

Abstract

Concept Learning is a Machine Learning technique in which the learning process is driven by providing positive and negative examples to the learner. From those examples, the learner builds a hypothesis (concept) that describes the positive examples and excludes the negative examples. Inductive Logic Programming (ILP) systems have

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Text

Gonzalez et al. "Graph Based Concept Learning." AAAI Conference on Artificial Intelligence, 2000.

Markdown

[Gonzalez et al. "Graph Based Concept Learning." AAAI Conference on Artificial Intelligence, 2000.](https://mlanthology.org/aaai/2000/gonzalez2000aaai-graph/)

BibTeX

@inproceedings{gonzalez2000aaai-graph,
  title     = {{Graph Based Concept Learning}},
  author    = {Gonzalez, Jesus A. and Holder, Lawrence B. and Cook, Diane J.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2000},
  pages     = {1072},
  url       = {https://mlanthology.org/aaai/2000/gonzalez2000aaai-graph/}
}