Learning from Polyhedral Sets
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 1069-1074.
Abstract
Parameterized linear systems allow for modelling and reasoning over classes of polyhedra. Collections of squares, rectangles, polytopes, and so on, can readily be defined by means of linear systems with parameters. In this paper, we investigate the problem of learning a parameterized linear system whose class of polyhedra includes a given set of example polyhedral sets and it is minimal.
Salvatore Ruggieri. 2013. Learning from Polyhedral Sets. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13. IJCAI, 1069–1074. https://ijcai.org/proceedings/2013/162
Ruggieri, S. (2013). Learning from Polyhedral Sets. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 (pp. 1069–1074). IJCAI. https://ijcai.org/proceedings/2013/162
@inproceedings{ijcai2013p162,
title = {Learning from Polyhedral Sets},
author = {Ruggieri, Salvatore},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {1069--1074},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/162},
}
TY - CPAPER TI - Learning from Polyhedral Sets AU - Ruggieri, Salvatore T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 1069 EP - 1074 UR - https://ijcai.org/proceedings/2013/162 ER -Copied
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