John K. Williams - researchr alias

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Viewing Publication 1 - 9 from 9

2024

AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal OceanographyAmy McGovern, Imme Ebert-Uphoff, Elizabeth A. Barnes, Ann Bostrom, Mariana G. Cains, Phillip Davis, Julie L. Demuth, Dimitrios I. Diochnos, Andrew H. Fagg, Philippe Tissot, John K. Williams, Christopher D. Wirz. aim, 45(1):105-110, 2024. [doi]

2016

Adaptable Regression Method for Ensemble Consensus ForecastingJohn K. Williams, Peter P. Neilley, Joseph P. Koval, Jeff McDonald. AAAI 2016: 3915-3921 [doi]

2014

Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learningAmy McGovern, David John Gagne II, John K. Williams, Rodger A. Brown, Jeffrey B. Basara. ml, 95(1):27-50, 2014. [doi]

Using random forests to diagnose aviation turbulenceJohn K. Williams. ml, 95(1):51-70, 2014. [doi]

2013

Enhanced spatiotemporal relational probability trees and forestsAmy McGovern, Nathaniel Troutman, Rodger A. Brown, John K. Williams, Jennifer Abernethy. datamine, 26(2):398-433, 2013. [doi]

2011

Using spatiotemporal relational random forests to improve our understanding of severe weather processesAmy McGovern, David John Gagne II, Nathaniel Troutman, Rodger A. Brown, Jeffrey B. Basara, John K. Williams. sadm, 4(4):407-429, 2011. [doi]

2010

Severe Weather Processes through Spatiotemporal Relational Random ForestsAmy McGovern, Timothy A. Supinie, David John Gagne II, Nathaniel Troutman, Matthew W. Collier, Rodger A. Brown, Jeffrey B. Basara, John K. Williams. CIDU 2010: 213-227 [doi]

1998

Experimental Results on Learning Stochastic Memoryless Policies for Partially Observable Markov Decision ProcessesJohn K. Williams, Satinder P. Singh. nips 1999: 1073-1080 [doi]

1991

Rep-tiling for trianglesStephen L. Snover, Charles Waiveris, John K. Williams. DM, 91(2):193-200, 1991. [doi]

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