dc.contributor.author | Phan, Thong H. | |
dc.contributor.author | Witten, Ian H. | |
dc.date.accessioned | 2008-10-23T02:48:55Z | |
dc.date.available | 2008-10-23T02:48:55Z | |
dc.date.issued | 1994-08 | |
dc.identifier.citation | Phan, T.H. & Witten, I.H. (1994). Data transformation: a semantically-based approach to function discovery. (Working paper 94/15). Hamilton, New Zealand: University of Waikato, Department of Computer Science. | en_US |
dc.identifier.issn | 1170-487X | |
dc.identifier.uri | https://hdl.handle.net/10289/1144 | |
dc.description.abstract | This paper presents the method of data transformation for discovering numeric functions from their examples. Based on the idea of transformations between functions, this method can be viewed as a semantic counterpart to the more common approach of formula construction used in most previous discovery systems. Advantages of the new method include a flexible implementation through the design of transformation rules, and a sound basis for rigorous mathematical analysis to characterize what can be discovered. The method has been implemented in a discovery system called "LINUS," which can identify a wide range of functions: rational functions, quadratic relations, and many transcendental functions, as well as those that can be transformed to rational functions by combinations of differentiation, logarithm and function inverse operations. | en_US |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.relation.ispartofseries | Computer Science Working Papers | |
dc.subject | Function discovery | en_US |
dc.subject | data transformation | en_US |
dc.subject | Machine learning | |
dc.title | Data transformation: a semantically-based approach to function discovery | en_US |
dc.type | Working Paper | en_US |
uow.relation.series | 94/15 | |