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.
The full version of this paper is published in the Proceedings of the 10th International Conference on Discovery Science, Lecture Notes in Artificial Intelligence Vol. 4755.
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© 2007 Springer-Verlag Berlin Heidelberg
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Dietterich, T.G. (2007). Machine Learning in Ecosystem Informatics. In: Hutter, M., Servedio, R.A., Takimoto, E. (eds) Algorithmic Learning Theory. ALT 2007. Lecture Notes in Computer Science(), vol 4754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75225-7_3
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DOI: https://doi.org/10.1007/978-3-540-75225-7_3
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