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Machine learning / Logic programming / Prolog / Computing / Computer programming / Software engineering / Cybernetics / Learning


Variation of background knowledge in an industrial application of ILP Stephen H. Muggleton∗ , Jianzhong Chen∗ , Hiroaki Watanabe∗ , Stuart J. Dunbar† , Charles Baxter† , Richard Currie† , Jos´e Domingo Salaz
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Document Date: 2010-05-26 06:02:00

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File Size: 120,63 KB

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City

Santos / Kyoto / Berlin / /

Company

Syngenta Ltd. / SRNF / RNF BK / Microsoft / /

Event

Company Expansion / /

Facility

Plant Physiology / University Innovation Centre / Michael J.E. Sternberg∗ Imperial College / Imperial College / Syngenta University Innovation Centre / /

IndustryTerm

predictive toxicology applications / biological networks / industrial applications / gene expression regulatory networks / biological systems / data integration solution / “systems / metabolic networks / chemicals / tomato biological network / /

Movie

Running time v / /

Organization

Royal Academy of Engineering / Imperial College London / Taubert+ and Michael J.E. Sternberg∗ Imperial College London / University Innovation Centre / Syngenta University Innovation Centre / /

Person

Jianzhong Chen / Stuart J. Dunbar / Charles Baxter / Richard Currie / Hiroaki Watanabe / Domingo Salazar / Jan Taubert / Stephen H. Muggleton / /

Position

research chair / first author / /

Product

Ondex / /

ProgrammingLanguage

Prolog / EC / /

PublishedMedium

Machine Learning / Plant Physiology / /

Technology

Genomics / bioinformatics / data warehouse / gene expression / metabolic networks / machine learning / metabolite profiling / /

URL

http /

SocialTag