Machine Learning in Ecosystem Informatics

Authors:
Thomas G. Dietterich
Affiliations:
Oregon State University, Corvallis, Oregon, USA
Venue:
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
Year:
2007

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Abstract

The emerging field of Ecosystem Informatics applies methods from computer science and mathematics to address fundamental and applied problems in the ecosystem sciences. The ecosystem sciences are in the midst of a revolution driven by a combination of emerging technologies for improved sensing and the critical need for better science to help manage global climate change. This paper describes several initiatives at Oregon State University in ecosystem informatics.