Discovering Admissible Models of Complex Systems Based on Scale-Types and Identity Constraints (1997)
| Venue: | In Proceedings of IJCAI'97, Vol.2 |
| Citations: | 18 - 7 self |
BibTeX
@INPROCEEDINGS{Washio97discoveringadmissible,
author = {Takashi Washio and Hiroshi Motoda},
title = {Discovering Admissible Models of Complex Systems Based on Scale-Types and Identity Constraints},
booktitle = {In Proceedings of IJCAI'97, Vol.2},
year = {1997},
pages = {810--817}
}
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Abstract
SDS is a discovery system from numeric measurement data. It outperforms the existing systems in every aspect of search e ciency, noise tolerancy, credibility of the resulting equations and complexity of the target system that it can handle. The power of SDS comes from the use of the scale-types of the measurement data and mathematical property of identity by which to constrain the admissible solutions. Its algorithm is described with a complex working example and the performance comparison with other systems are discussed. 1
