Non-Adaptive Learning of a Hidden Hypergraph
Abstract
We give a new deterministic algorithm that non-adaptively learns a hidden hypergraph from edge-detecting queries. All previous non-adaptive algorithms either run in exponential time or have non-optimal query complexity. We give the first polynomial time non-adaptive learning algorithm for learning hypergraph that asks an almost optimal number of queries.
Cite
Text
Abasi et al. "Non-Adaptive Learning of a Hidden Hypergraph." International Conference on Algorithmic Learning Theory, 2015. doi:10.1007/978-3-319-24486-0_6Markdown
[Abasi et al. "Non-Adaptive Learning of a Hidden Hypergraph." International Conference on Algorithmic Learning Theory, 2015.](https://mlanthology.org/alt/2015/abasi2015alt-nonadaptive/) doi:10.1007/978-3-319-24486-0_6BibTeX
@inproceedings{abasi2015alt-nonadaptive,
title = {{Non-Adaptive Learning of a Hidden Hypergraph}},
author = {Abasi, Hasan and Bshouty, Nader H. and Mazzawi, Hanna},
booktitle = {International Conference on Algorithmic Learning Theory},
year = {2015},
pages = {89-101},
doi = {10.1007/978-3-319-24486-0_6},
url = {https://mlanthology.org/alt/2015/abasi2015alt-nonadaptive/}
}