Machine Learning in Ecosystem Informatics

Dietterich, Thomas G.

doi:10.1007/978-3-540-75225-7_3

Machine Learning in Ecosystem Informatics

Thomas G. Dietterich

ALT 2007 pp. 10-11

doi:10.1007/978-3-540-75225-7_3 /alt/2007/dietterich2007alt-machine/

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.

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Cite

Text

Dietterich. "Machine Learning in Ecosystem Informatics." International Conference on Algorithmic Learning Theory, 2007. doi:10.1007/978-3-540-75225-7_3

Markdown

[Dietterich. "Machine Learning in Ecosystem Informatics." International Conference on Algorithmic Learning Theory, 2007.](https://mlanthology.org/alt/2007/dietterich2007alt-machine/) doi:10.1007/978-3-540-75225-7_3

BibTeX

@inproceedings{dietterich2007alt-machine,
  title     = {{Machine Learning in Ecosystem Informatics}},
  author    = {Dietterich, Thomas G.},
  booktitle = {International Conference on Algorithmic Learning Theory},
  year      = {2007},
  pages     = {10-11},
  doi       = {10.1007/978-3-540-75225-7_3},
  url       = {https://mlanthology.org/alt/2007/dietterich2007alt-machine/}
}