ML Anthology

Representational Issues in Machine Learning

Devika Subramanian
ICML 1989 pp. 426-429
doi:10.1016/B978-1-55860-036-2.50107-7 /icml/1989/subramanian1989icml-representational/

Abstract

Present day learners depend on careful vocabulary engineering for their success. The aim of this workshop is to study the nature of the contribution representation makes to learning, with a view to automating the process of representation selection and design for autonomous learners. This would clarify representational practice in machine learning by explicating the relationship between inference, both deductive and inductive, and choice of representation.

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Cite

Text

Subramanian. "Representational Issues in Machine Learning." International Conference on Machine Learning, 1989. doi:10.1016/B978-1-55860-036-2.50107-7

Markdown

[Subramanian. "Representational Issues in Machine Learning." International Conference on Machine Learning, 1989.](https://mlanthology.org/icml/1989/subramanian1989icml-representational/) doi:10.1016/B978-1-55860-036-2.50107-7

BibTeX

@inproceedings{subramanian1989icml-representational,
  title     = {{Representational Issues in Machine Learning}},
  author    = {Subramanian, Devika},
  booktitle = {International Conference on Machine Learning},
  year      = {1989},
  pages     = {426-429},
  doi       = {10.1016/B978-1-55860-036-2.50107-7},
  url       = {https://mlanthology.org/icml/1989/subramanian1989icml-representational/}
}