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Theories for mutagenicity: a study in first-order and feature-based induction

Abstract:

A classic problem from chemistry is used to test a conjecture that in domains for which data are most naturally represented by graphs, theories constructed with inductive logic programming (ILP) will significantly outperform those using simpler feature-based methods. One area that has long been associated with graph-based or structural representation and reasoning is organic chemistry. In this field, we consider the problem of predicting the mutagenic activity of small molecules: a property t...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/0004-3702(95)00122-0

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
European Strategic Programme of Research and Development in Information Technology More from this funder
Science and Engineering Research Council More from this funder
Publisher:
Elsevier Publisher's website
Journal:
Artificial Intelligence Journal website
Volume:
85
Issue:
1–2
Pages:
277–299
Publication date:
1996-08-01
DOI:
ISSN:
0004-3702
Language:
English
Keywords:
Subjects:
UUID:
uuid:65ac538d-0a7b-4deb-a501-1297354a540f
Local pid:
ora:8097
Deposit date:
2014-02-25

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