ML Anthology

Dominating Distributions and Learnability

Gyora M. Benedek, Alon Itai
COLT 1992 pp. 253-264
doi:10.1145/130385.130413 /colt/1992/benedek1992colt-dominating/

Abstract

We consider PAC-learning where the distribution is known to the student. The problem addressed here is characterizing when learnability with respect to distribution D1 implies learnability with respect to distribution D2.

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Text

Benedek and Itai. "Dominating Distributions and Learnability." Annual Conference on Computational Learning Theory, 1992. doi:10.1145/130385.130413

Markdown

[Benedek and Itai. "Dominating Distributions and Learnability." Annual Conference on Computational Learning Theory, 1992.](https://mlanthology.org/colt/1992/benedek1992colt-dominating/) doi:10.1145/130385.130413

BibTeX

@inproceedings{benedek1992colt-dominating,
  title     = {{Dominating Distributions and Learnability}},
  author    = {Benedek, Gyora M. and Itai, Alon},
  booktitle = {Annual Conference on Computational Learning Theory},
  year      = {1992},
  pages     = {253-264},
  doi       = {10.1145/130385.130413},
  url       = {https://mlanthology.org/colt/1992/benedek1992colt-dominating/}
}