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Machine Learning in Ecosystem Informatics and Sustainability

Machine Learning in Ecosystem Informatics and Sustainability,Thomas G. Dietterich

Machine Learning in Ecosystem Informatics and Sustainability   (Citations: 3)
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Ecosystem Informatics brings together math- ematical and computational tools to address scientific and policy challenges in the ecosys- tem sciences. These challenges include novel sensors for collecting data, algorithms for au- tomated data cleaning, learning methods for building statistical models from data and for fitting mechanistic models to data, and algo- rithms for designing optimal policies for bio- sphere management. This presentation dis- cusses these challenges and then describes re- cent work on the first two of these—new meth- ods for automated arthropod population count- ing and linear Gaussian DBNs for automated cleaning of sensor network data.
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