Machine Learning in Ecosystem Informatics and Sustainability
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 8-12.
Abstract
Ecosystem Informatics brings together mathematical and computational tools to address scientific and policy challenges in the ecosystem sciences. These challenges include novel sensors for collecting data, algorithms for automated data cleaning, learning methods for building statistical models from data and for fitting mechanistic models to data, and algorithms for designing optimal policies for biosphere management. This presentation discusses these challenges and then describes recent work on the first two of these--new methods for automated arthropod population counting and linear Gaussian DBNs for automated cleaning of sensor network data.Thomas G. Dietterich
@inproceedings{ijcai2009p13,
title = {Machine Learning in Ecosystem Informatics and Sustainability},
author = {Dietterich, Thomas G.},
booktitle = {Proceedings of the Twenty-First International Joint Conference on
Artificial Intelligence, {IJCAI-09}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Hiroaki Kitano},
pages = {8--12},
year = {2009},
url = {https://ijcai.org/proceedings/2009/13},
}
TY - CPAPER TI - Machine Learning in Ecosystem Informatics and Sustainability AU - Dietterich, Thomas G. T2 - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09 PB - International Joint Conferences on Artificial Intelligence PY - 2009 SP - 8 EP - 12 UR - https://ijcai.org/proceedings/2009/13 ER -Copied
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