85th AMS Annual Meeting

Session 1: AI Techniques

Monday, 10 January 2005: 9:00 AM-11:15 AM
Chair:  Caren Marzban, CAPS/Univ. of Oklahoma, and Applied Physics Lab/University of Washington
Papers:
  9:00 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

  9:15 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

  9:30 AM
1.3
Nonlinear principal predictor analysis using neural networks
Alex J. Cannon, MSC, Vancouver, BC, Canada; and W. W. Hsieh

  9:45 AM
1.4
Nonlinear complex principal component analysis
Sanjay S.P. Rattan, University of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh

  10:00 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

  10:30 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

  10:45 AM
Welcoming Remarks
Caren Marzban, CAPS/Univ. of Oklahoma, Norman, OK and University of Washington, Seattle, WA

  11:00 AM
Coffee Break in Poster Session Room

  11:30 AM
Predicting Good Probabilities with Supervised Learning
Rich Caruana, Cornell University, Ithaca, NY; and A. Niculescu-Mizil