Themed Joint Session 4 Machine Learning and Statistics in Data Science

Tuesday, 9 January 2018: 10:30 AM-12:00 PM
Room 7 (ACC) (Austin, Texas)
Hosts: (Joint between the 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences; and the 25th Conference on Probability and Statistics )
Chair:
Amy McGovern, University of Oklahoma, School of Computer Science, Norman, OK

Papers:
10:30 AM
TJ4.1
Machine Learning and Statistics: The Yin and Yang of Data Science (Core Science Keynote)
William W. Hsieh, Univ. of British Columbia, Vancouver, BC, Canada
Recorded Presentation

11:00 AM
TJ4.2
Convolutional Neural Network for Rain/No-Rain Detection from Satellite Observations
Kun Zhang, Beijing Presky Co., Ltd., Beijing, China; and H. Xia, H. Zhang, C. Lin, and W. Guo

11:15 AM
TJ4.3
Self-Organizing Maps for Tornadic Near-Storm Environments
Alexandra Anderson-Frey, Pennsylvania State Univ., Univ. Park, PA; and Y. P. Richardson, A. R. Dean, R. L. Thompson, and B. T. Smith
Recorded Presentation

11:30 AM
TJ4.4
Improving Forecasts of Extreme Values by Machine Learning Models Using Occam's Razor
William W. Hsieh, Univ. of British Columbia, Vancouver, BC, Canada
Recorded Presentation

11:45 AM
TJ4.5
Spatial Structure Evaluation of Unsupervised Deep Learning for Atmospheric Data
David John Gagne II, NCAR, Boulder, CO; and S. E. Haupt and D. W. Nychka
Recorded Presentation

Handout (15.4 MB)

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
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