| 2008 |
|---|
| 12 | EE | Amy McGovern,
Nathan C. Hiers,
Matthew W. Collier,
David J. Gagne II,
Rodger A. Brown:
Spatiotemporal Relational Probability Trees: An Introduction.
ICDM 2008: 935-940 |
| 11 | EE | Matthew W. Collier,
Amy McGovern:
Kernels for the Investigation of Localized Spatiotemporal Transitions of Drought with Support Vector Machines.
ICDM Workshops 2008: 359-368 |
| 10 | EE | Amy McGovern,
David Jensen:
Optimistic pruning for multiple instance learning.
Pattern Recognition Letters 29(9): 1252-1260 (2008) |
| 2007 |
|---|
| 9 | EE | William Dabney,
Amy McGovern:
Utile Distinctions for Relational Reinforcement Learning.
IJCAI 2007: 738-743 |
| 8 | EE | Amy McGovern,
Jason Fager:
Creating significant learning experiences in introductory artificial intelligence.
SIGCSE 2007: 39-43 |
| 2003 |
|---|
| 7 | | Amy McGovern,
David Jensen:
Identifying Predictive Structures in Relational Data Using Multiple Instance Learning.
ICML 2003: 528-535 |
| 6 | EE | Amy McGovern,
Lisa Friedland,
Michael Hay,
Brian Gallagher,
Andrew Fast,
Jennifer Neville,
David Jensen:
Exploiting relational structure to understand publication patterns in high-energy physics.
SIGKDD Explorations 5(2): 165-172 (2003) |
| 2002 |
|---|
| 5 | EE | Amy McGovern:
Autonomous Discovery of Abstractions through Interaction with an Environment.
SARA 2002: 338-339 |
| 4 | | 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) |
| 2001 |
|---|
| 3 | | Amy McGovern,
Andrew G. Barto:
Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density.
ICML 2001: 361-368 |
| 1998 |
|---|
| 2 | EE | Martin O. Hofmann,
Amy McGovern,
Kenneth R. Whitebread:
Mobile Agents on the Digital Battlefield.
Agents 1998: 219-225 |
| 1 | EE | Amy McGovern,
J. Eliot B. Moss:
Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts.
NIPS 1998: 903-909 |
