ML Anthology

Acquiring and Combining Overlapping Concepts

Joel D. Martin, Dorrit Billman
MLJ 1994 pp. 121-155
doi:10.1007/BF00993176 /mlj/1994/martin1994mlj-acquiring/

Abstract

This article presents Oloc , an incremental concept formation system that learns and uses overlapping concepts. Oloc learns probabilistic concepts that have overlapping extensions and does so to maximize expected predictive accuracy. When making predictions, Oloc can combine multiple overlapping concepts.

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Cite

Text

Martin and Billman. "Acquiring and Combining Overlapping Concepts." Machine Learning, 1994. doi:10.1007/BF00993176

Markdown

[Martin and Billman. "Acquiring and Combining Overlapping Concepts." Machine Learning, 1994.](https://mlanthology.org/mlj/1994/martin1994mlj-acquiring/) doi:10.1007/BF00993176

BibTeX

@article{martin1994mlj-acquiring,
  title     = {{Acquiring and Combining Overlapping Concepts}},
  author    = {Martin, Joel D. and Billman, Dorrit},
  journal   = {Machine Learning},
  year      = {1994},
  pages     = {121-155},
  doi       = {10.1007/BF00993176},
  volume    = {16},
  url       = {https://mlanthology.org/mlj/1994/martin1994mlj-acquiring/}
}