John K. Williams

According to our database, John K. Williams authored at least 10 papers between 1991 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography.

Amy 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

AI Mag., 2024

2016

Adaptable Regression Method for Ensemble Consensus Forecasting.

John K. Williams, Peter P. Neilley, Joseph P. Koval, Jeff McDonald

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2014

Using random forests to diagnose aviation turbulence.

John K. Williams

Mach. Learn., 2014

Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning.

Amy McGovern, David John Gagne II, John K. Williams, Rodger A. Brown, Jeffrey B. Basara

Mach. Learn., 2014

2013

Enhanced spatiotemporal relational probability trees and forests.

Amy McGovern, Nathaniel Troutman, Rodger A. Brown, John K. Williams, Jennifer Abernethy

Data Min. Knowl. Discov., 2013

2011

Using spatiotemporal relational random forests to improve our understanding of severe weather processes.

Amy McGovern, David John Gagne II, Nathaniel Troutman, Rodger A. Brown, Jeffrey B. Basara, John K. Williams

Stat. Anal. Data Min., 2011

2010

Severe Weather Processes through Spatiotemporal Relational Random Forests.

Amy McGovern, Timothy A. Supinie, David John Gagne II, Nathaniel Troutman, Matthew W. Collier, Rodger A. Brown, Jeffrey B. Basara, John K. Williams

Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010

2009

Spatiotemporal Relational Random Forests.

Timothy A. Supinie, Amy McGovern, John K. Williams, Jennifer Abernethy

Proceedings of the ICDM Workshops 2009, 2009

1998

Experimental Results on Learning Stochastic Memoryless Policies for Partially Observable Markov Decision Processes.

John K. Williams, Satinder Singh

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1991

Rep-tiling for triangles.

Stephen L. Snover, Charles Waiveris, John K. Williams

Discret. Math., 1991