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American Meteorological Society

 

Committee on Artificial Intelligence

Applications to Environmental Science
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Short Course on Artificial Intelligence Methods and
Applications in Environmental Sciences
86th AMS Annual Meeting, 2006, Atlanta, GA
Introduction to Algorithms for Supervised Learning Rich Caruna
Machine Learning Techniques on Spatial Grids Valliappa Lakshmanan

On the Connection Between AI and Statistics

Supplemental material:
R code for running Naive Bayes, and sample data

 Caren Marzban

Applications of Genetic Algorithms
in the Environmental Sciences (Part 1)

Applications of Genetic Algorithms
in the Environmental Sciences (Part 2)

Supplemental material: article

 Sue Ellen Haupt

Fuzzy Logic (Part 1)

Fuzzy Logic (Part 2)

 John K. Williams
Performance Assesment Caren Marzban
Neural Network Modeling in Climate Change Studies
 Antonello Pasini

Analysis of Environmental Data
with Machine Learning Methods

Supplemental: paper

 Saso Dzeroski
Short Course Summary Valliappa Lakshmanan