Session 1 |
| | AI Techniques |
| | Chair: Caren Marzban, CAPS/Univ. of Oklahoma, and Applied Physics Lab/University of Washington, Seattle, WA
|
| 9:00 AM | 1.0a | Welcoming Remarks
Caren Marzban, CAPS/Univ. of Oklahoma, Norman, OK and University of Washington, Seattle, WA |
| 9:15 AM | 1.1 | On Genetic Algorithms and Discrete Performance Measures  
Caren Marzban, CAPS/Univ. of Oklahoma, Norman, OK and University of Washington, Seattle, WA; and S. E. Haupt |
| 9:30 AM | 1.2 | Validation of Receptor/ Dispersion Model Coupled with a Genetic Algorithm
Sue Ellen Haupt, Penn State University, State College, PA; and G. Young |
| 9:45 AM | 1.3 | Nonlinear principal predictor analysis using neural networks
Alex J. Cannon, MSC, Vancouver, BC, Canada; and W. W. Hsieh |
| 10:00 AM | 1.4 | Nonlinear complex principal component analysis
Sanjay S.P. Rattan, University of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh |
| 10:15 AM | | Coffee Break in Poster Session Room
|
| 10:45 AM | 1.5 | Techniques for tuning fuzzy logic algorithms
John K. Williams, NCAR, Boulder, CO; and G. Meymaris |
|  | 1.6 | Quantitative Analysis of the Benefit of Ontologies and Rich Metadata for Earth Science Data Discovery
Carroll A. Hood, Raytheon, Aurora, CO; and L. D. Forsyth and L. Olsen |
| 11:00 AM | 1.6a | Predicting Good Probabilities with Supervised Learning
Rich Caruana, Cornell University, Ithaca, NY; and A. Niculescu-Mizil |
| 11:15 AM | 1.7 | Fingerprinting Significant Weather Events
Paul Knight, Penn State Univ., University Park, PA; and J. Ross, B. Root, G. Young, and R. Grumm |