ML Anthology

Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction

Ricardo Vilalta, Larry A. Rendell
ICML 1997 pp. 394-402
/icml/1997/vilalta1997icml-integrating/

Abstract

Feature construction can be attained by conducting a search for the best logical feature combination at every node of a decision tree.

Semantic Scholar

Cite

Text

Vilalta and Rendell. "Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction." International Conference on Machine Learning, 1997.

Markdown

[Vilalta and Rendell. "Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction." International Conference on Machine Learning, 1997.](https://mlanthology.org/icml/1997/vilalta1997icml-integrating/)

BibTeX

@inproceedings{vilalta1997icml-integrating,
  title     = {{Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction}},
  author    = {Vilalta, Ricardo and Rendell, Larry A.},
  booktitle = {International Conference on Machine Learning},
  year      = {1997},
  pages     = {394-402},
  url       = {https://mlanthology.org/icml/1997/vilalta1997icml-integrating/}
}