Knowledge Representation in Machine Learning
Abstract
This paper investigates the influence of knowledge representation languages on the complexity of the learning process. However, the aim of the paper is not to give a state-of-the-art account of the involved issues, but to survey the underlying ideas. Then, references will be provided only occasionally and all the specific quantitative results are left to the presentation. Finally, the paper is intentionally unbalanced, because a larger space is given to those issues that are more novel or less investigated in the literature.
Cite
Text
Neri and Saitta. "Knowledge Representation in Machine Learning." European Conference on Machine Learning, 1994. doi:10.1007/3-540-57868-4_48Markdown
[Neri and Saitta. "Knowledge Representation in Machine Learning." European Conference on Machine Learning, 1994.](https://mlanthology.org/ecmlpkdd/1994/neri1994ecml-knowledge/) doi:10.1007/3-540-57868-4_48BibTeX
@inproceedings{neri1994ecml-knowledge,
title = {{Knowledge Representation in Machine Learning}},
author = {Neri, Filippo and Saitta, Lorenza},
booktitle = {European Conference on Machine Learning},
year = {1994},
pages = {20-27},
doi = {10.1007/3-540-57868-4_48},
url = {https://mlanthology.org/ecmlpkdd/1994/neri1994ecml-knowledge/}
}