Combining Empirical and Analytical Learning with Version Spaces

Abstract

This paper describes an approach to combining empirical and analytical learning using incremental version-space merging (Hirsh, 1989). The basic idea is to use analytical learning to generalize training data before doing empirical learning. The combination operates like empirical learning given no knowledge, but can utilize knowledge when provided, and thus exhibits behavior along a spectrum from knowledge-poor to knowledge-rich learning.

Cite

Text

Hirsh. "Combining Empirical and Analytical Learning with Version Spaces." International Conference on Machine Learning, 1989. doi:10.1016/B978-1-55860-036-2.50013-8

Markdown

[Hirsh. "Combining Empirical and Analytical Learning with Version Spaces." International Conference on Machine Learning, 1989.](https://mlanthology.org/icml/1989/hirsh1989icml-combining/) doi:10.1016/B978-1-55860-036-2.50013-8

BibTeX

@inproceedings{hirsh1989icml-combining,
  title     = {{Combining Empirical and Analytical Learning with Version Spaces}},
  author    = {Hirsh, Haym},
  booktitle = {International Conference on Machine Learning},
  year      = {1989},
  pages     = {29-33},
  doi       = {10.1016/B978-1-55860-036-2.50013-8},
  url       = {https://mlanthology.org/icml/1989/hirsh1989icml-combining/}
}