Session 2 |
| | Forecasting contest submissions (Participants will present the results of their model forecasts of the posted dataset) |
| | CoChair: Elizabeth E. Ebert, BMRC, Melbourne, Vic. Australia
Chair: Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK
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| 1:30 PM | 2.1 | The 2008 Artificial Intelligence Competition  
Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK; and E. E. Ebert and S. E. Haupt |
| 1:45 PM | 2.2 | Using random forests and fuzzy logic for automated storm type identification
John K. Williams, NCAR, Boulder, CO; and J. Abernethy |
| 2:00 PM | 2.3 | Using a Decision Tree and a Neural Network to Identify Severe Weather Radar Characteristics
Ron Holmes, NOAA/NWSFO, State College, PA |
| 2:15 PM | 2.4 | Using Multiple Machine Learning Techniques to Improve the Classification of a Storm Set
David John Gagne II, University of Oklahoma School of Meteorology, Norman, OK; and A. McGovern |
| 2:30 PM | 2.5 | A storm-type classifier using support vector machines and fuzzy logic
Jenny Abernethy, NCAR/RAL, Boulder, CO; and J. K. Williams |
| 2:45 PM | 2.6 | Genetic Algorithm optimization of principal component approach to clustering for storm type identification
Luna M. Rodriguez, The Pennsylvania State University, University Park, PA |
| 3:00 PM | 2.7 | Support Vector Machine Classification using the AI Competition Data Set
Kimberly L. Elmore, CIMMS/Univ. of Oklahoma and NOAA/NSSL, Norman, OK; and M. B. Richman |