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THE EQUAL-VALUE SEARCH: ACCELERATING SEARCH IN FUNCTION INDUCTION

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Author
Phan, Thong Huy
Accessioned
2008-05-23T21:23:21Z
Available
2008-05-23T21:23:21Z
Computerscience
1999-05-27
Issued
1989-04-01
Subject
Computer Science
Type
unknown
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Abstract
Function induction is a major component of many learning systems. Its purpose is to extract information in the form of a functional relationship from a given set of examples. Since learning systems strive for generality, search emerges as the best candidate for tackling the task of function induction. However, it is inevitably less efficient than specialized problem-solving methods. Previous researchers have sacrificed generality by developing strategies that utilize domain-specific knowledge to improve efficiency. This thesis presents a different approach, the "equal-value" method, which directly improves search performance while maintaining its generality. The result is a new search strategy that is both general and efficient. Experiments suggest that, in the case of numeric functions, performance can increase by several orders of magnitude compared to generic exhaustive search. While the strategy was developed specifically to address the function induction problem, it is possible that a similar approach applies to other induction problems. In any case, the equal-value search provides a powerful new technique for general function induction.
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We are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.ca
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University of Calgary
Faculty
Science
Doi
http://dx.doi.org/10.11575/PRISM/31372
Uri
http://hdl.handle.net/1880/46582
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