Research
My research interests center on developing and using machine learning and data mining methods for real-world applications with a special interest in severe weather and in space. I am very interested in issues of representation and much of my current research focuses on developing novel spatiotemporal relational data mining methods. Other interests include:
- Autonomous discovery of structure. My dissertation
focused on autonomously identifying and creating useful temporal
abstractions from an agent's interaction with its environment.
Current work focuses on identifying structure in relational
learning tasks using knowledge discovery and data mining
approaches.
- Knowledge representation. How can we efficiently
represent the knowledge learned in one task and reuse it for other
tasks? This knowledge can take the form of a control policy
learned to solve one task or a representation of structure in an
environment.
- Interaction of reinforcement learning, supervised learning,
and relational learning methods. I am particularly interested in
the combined use of these techniques to create more robust and
autonomous learning systems.
- Robotics and space Application of these techniques to
robots, with a particular focus on robots assisting a human
presence in space.
I direct the Interaction, Discovery, Exploration and Adaptation (IDEA) lab. You can find more information on our research from the lab web page.
Education
My other pages
[Publications] [Courses]
Links
My Husband: Prof. Andrew Fagg
amy [at] cs.ou.edu
Last updated
July 23, 2008 10:33 AM
