Amy McGovern

Amy McGovern, Nathaniel Troutman, Rodger A. Brown, John K. Williams, Jennifer Abernethy: Enhanced spatiotemporal relational probability trees and forests. Data Min. Knowl. Discov. 26(2): 398-433 (2013)

David John Gagne II, Amy McGovern, Ming Xue: Machine learning enhancement of Storm Scale Ensemble precipitation forecasts. CIDU 2012: 39-46

Scott Hellman, Amy McGovern, Ming Xue: Learning ensembles of Continuous Bayesian Networks: An application to rainfall prediction. CIDU 2012: 112-117

Amy McGovern, Derek H. Rosendahl, Rodger A. Brown, Kelvin Droegemeier: Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction. Data Min. Knowl. Discov. 22(1-2): 232-258 (2011)

Amy McGovern, Kiri L. Wagstaff: Machine learning in space: extending our reach. Machine Learning 84(3): 335-340 (2011)

Amy McGovern, David John Gagne II, Nathaniel Troutman, Rodger A. Brown, Jeffrey B. Basara, John K. Williams: Using spatiotemporal relational random forests to improve our understanding of severe weather processes. Statistical Analysis and Data Mining 4(4): 407-429 (2011)

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

Matthew Bodenhamer, Samuel Bleckley, Daniel Fennelly, Andrew H. Fagg, Amy McGovern: Spatio-temporal Multi-dimensional Relational Framework Trees. ICDM Workshops 2009: 564-570

Timothy A. Supinie, Amy McGovern, John K. Williams, Jennifer Abernethy: Spatiotemporal Relational Random Forests. ICDM Workshops 2009: 630-635

Amy McGovern, David Jensen: Optimistic pruning for multiple instance learning. Pattern Recognition Letters 29(9): 1252-1260 (2008)

Matthew W. Collier, Amy McGovern: Kernels for the Investigation of Localized Spatiotemporal Transitions of Drought with Support Vector Machines. ICDM Workshops 2008: 359-368

Amy McGovern, Nathan C. Hiers, Matthew W. Collier, David John Gagne II, Rodger A. Brown: Spatiotemporal Relational Probability Trees: An Introduction. ICDM 2008: 935-940

William Dabney, Amy McGovern: Utile Distinctions for Relational Reinforcement Learning. IJCAI 2007: 738-743

Amy McGovern, Jason Fager: Creating significant learning experiences in introductory artificial intelligence. SIGCSE 2007: 39-43

Amy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher, Andrew S. Fast, Jennifer Neville, David Jensen: Exploiting relational structure to understand publication patterns in high-energy physics. SIGKDD Explorations 5(2): 165-172 (2003)

Amy McGovern, David Jensen: Identifying Predictive Structures in Relational Data Using Multiple Instance Learning. ICML 2003: 528-535

Amy McGovern, J. Eliot B. Moss, Andrew G. Barto: Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts. Machine Learning 49(2-3): 141-160 (2002)

Amy McGovern: Autonomous Discovery of Abstractions through Interaction with an Environment. SARA 2002: 338-339

Amy McGovern, Andrew G. Barto: Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density. ICML 2001: 361-368

Martin O. Hofmann, Amy McGovern, Kenneth R. Whitebread: Mobile Agents on the Digital Battlefield. Agents 1998: 219-225

Amy McGovern, J. Eliot B. Moss: Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts. NIPS 1998: 903-909