Cornel l University); 3) Overview of benefitin g fro m new knowledge. Al an d Machine Learning Techniques Two integrating subthemes that will U.S . CLIMATE CHANGE SCIENCE PROGRAM WORKSHOP: (Valliapp a Lakshmanan, National be highlighted are "Managing Our CLIMATE SCIENCE IN SUPPORT OF DECISIONMAKING, 14-1 6 Severe Storms Lab/CIMMS); 4) On Physical an d Natura l Resources: Suc- NOVEMBE R 2005 , IN ARLINGTON, VIRGINIA th e Connections Between Al and cesses an d Challenges" an d "Environ- Th e U.S. Climate Change Science Statistics (Caren Marzban, University menta l Risks an d Impacts on Society: Progra m Workshop: Climate Science of Oklahom a and University of Wash- Successes and Challenges." in Support of Decisionmaking, will be held 14-16 Novembe r 2005, in Ar- ington); 5) Analysis of Environmental Increasingly , policy issues mat- Dat a with Machine Learning (ML) ter to the Earth system sciences and lington , Virginia. Deadline for sub- mission of abstracts is July 30, 2005. Method s (Saso Dzeroski, Jozef Stefan Eart h system science-based service Institute , Slovenia); 6) Neural Net- community . Research and analysis For furthe r information , please go to th e Web site: (www.climatescience. wor k Modeling
Bulletin of the American Meteorological Society – American Meteorological Society
Published: Aug 1, 2005
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