| || |
Peter Andreae (Pondy)
Phone: 262 7946 (Home: 238 3354)
Office: MSC 6795
North Charter St, Madison, WI 53706, U.S.A.
I am a visiting Associate Professor in the Computer Science Department during
2001, working with Prof Jude Shavlik in the AI group.
I am currently located with the machine learning group in the Biostatistics
Department, working on a project to generate explanations of gene microarray
data that would assist a scientist to make sense of a a microarray experiment.
My permanent position is in the Computer
at Victoria University
My main area of interest is Artificial Intelligence and machine
- Reinforcement learning in richly structured worlds.
- Incremental clustering methods, based on an MML/MDL approach.
- Programming by Demonstration: instructing a computer by
leading it through a task rather than specifying the actions in a programming
I have several research
projects that have possible projects for graduate students.
I am part of the Artificial Intelligence Group.
I have supervised a number of
thesis and project students in the past.
Selected Recent Publications.
- Anand Raman, Peter Andreae and Jon Patrick, "A Beam Search Algorithm for
PFSA inference" in Journal of Pattern Analysis and Applications,
- Peter Andreae, Robert Biddle, Judy Brown, Ewan Tempero "Women in
Introductory Computer Science: Experience in Addressing Retention"
SIGCSE '97, San Jose, 1997.
- Peter Hall, Ngan Milton, Peter Andreae, "Reconstruction of Vascular
Networks Using Three-Dimensional Models",
IEEE Transactions on Medical Imaging, Vol 16, Num 6, Dec 1997.
- Peter Hall, Ngan Milton, Peter Andreae, "Reconstruction of blood vessel
networks from x-ray projections and a vascular catalogue", in
Proc. European Conference on Computer Vision 1996.
- Brian P. Dawkins, Peter M. Andreae and Paul M. O'Connor
"Analysis of Olympic Heptathlon Data" Journal of the American
Statistical Association,September 1994.
- John H. Andreae, Shaun W. Ryan, Mark L. Tomlinson and Peter M. Andreae,
"Structure from Associative Learning", Int. J. Man-Machine Studies, vol