Session 2 Machine Learning

Monday, 23 January 2017: 4:00 PM-5:30 PM
310 (Washington State Convention Center )
Host: 15th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences
Chair:
William W. Hsieh, Univ. of British Columbia, Department of Earth, Ocean and Atmospheric Sciences, Vancouver, BC

Papers:
4:00 PM
2.1
On the Complexity of Neural-Network-Learned Functions
Caren Marzban, University of Washington, Seattle, WA; and R. Viswanathan
Recorded Presentation

Handout (1.1 MB)

4:15 PM
2.2
Examination of Spatial Relationships Using Machine Learning Techniques
Laura Clemente-Harding, ERDC, Alexandria, VA; and G. Cervone, L. Delle Monache, and S. E. Haupt
Recorded Presentation Manuscript (762.2 kB)

4:30 PM
2.3
Online Learning Using Extreme Learning Machines with Self-Adapting Complexity
Aranildo R. Lima, Univ. of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh and A. J. Cannon
Recorded Presentation

4:45 PM
2.4
Defining Higher-Order Turbulent Moment Closures with Random Forests
Jeremy McGibbon, Univ. of Washington, Seattle, WA
Recorded Presentation

5:00 PM
2.5
A Machine Learning Approach to Forecast Geopotential Heights using Historical Analogs as a Training Set
Christopher Lee Kuhn, Raytheon, Richardson, TX
Recorded Presentation

5:15 PM
2.6
Translating the Words and Numbers of Official Forecasts into Predictions of Amount and Probability of Precipitation
Harvey Stern, Univ. of Melbourne, Melbourne, Australia
Recorded Presentation Manuscript (644.9 kB)

Handout (599.4 kB)

- Indicates paper has been withdrawn from meeting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