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DIS
2007
Springer

Machine Learning in Ecosystem Informatics

10 years 4 months ago
Machine Learning in Ecosystem Informatics
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
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where DIS
Authors Thomas G. Dietterich
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