Flexible Tree Matching
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2674-2678.
Abstract
Tree-matching problems arise in many computational domains. The literature provides several methods for creating correspondences between labeled trees; however, by definition, tree-matching algorithms rigidly preserve ancestry. That is, once two nodes have been placed in correspondence, their descendants must be matched as well. We introduce flexible tree matching, which relaxes this rigid requirement in favor of a tunable formulation in which the role of hierarchy can be controlled. We show that flexible tree matching is strongly NP-complete, give a stochastic approximation algorithm for the problem, and demonstrate how structured prediction techniques can learn the algorithm's parameters from a set of example matchings. Finally, we present results from applying the method to tasks in Web design.
@inproceedings{ijcai2011p445,
title = {Flexible Tree Matching},
author = {Kumar, Ranjitha and Talton, Jerry O. and Ahmad, Salman and Roughgarden, Tim and Klemmer, Scott R.},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {2674--2678},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-445},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-445},
}
TY - CPAPER TI - Flexible Tree Matching AU - Kumar, Ranjitha AU - Talton, Jerry O. AU - Ahmad, Salman AU - Roughgarden, Tim AU - Klemmer, Scott R. T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 2674 EP - 2678 DO - 10.5591/978-1-57735-516-8/IJCAI11-445 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-445 ER -Copied
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