OREGON STATE UNIVERSITY

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Machine learning in ecosystem informatics and sustainability

TitleMachine learning in ecosystem informatics and sustainability
Publication TypeConference Paper
Year of Publication2009
AuthorsDietterich, T. G.
Conference NameProceedings of the 21st International Joint Conference on Artifical Intelligence
Pagination8–13
Date Published07/2009
PublisherMorgan Kaufmann Publishers Inc.
Conference LocationPasadena, CA
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.

URLhttp://dl.acm.org/citation.cfm?id=1661445.1661448