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Thursday 2 October 2003
8:00 – 8:45
Late registration; tea and coffee
8:45 – 9:00
Welcoming remarks
9:00 – 9:30
Matt Wand (New South Wales)
Statistical Learning for Statisticians
9:30 – 10:30
Brian Ripley (Oxford)
Model Selection in Complex Classes of Models
10:30 – 10:45
Morning tea
10:45 – 11:45
Arcot Sowmya (New South Wales)
Learning in Vision Projects at UNSW: Overview
11:45 – 1:00
Lunch
1:00 – 2:00
Rob McCulloch (Chicago)
BART: Bayesian Additive Regression Trees
2:00 – 3:00
Robert Kohn (New South Wales)
Estimation and Variable Selection in Nonparametric Heteroscedastic Regression
3:00 – 3:15
Afternoon tea
3:15 – 4:15
David Bowtell (Melbourne)
Microarray and proteomic-based diagnosis of cancer
4:15 – 5:15
Inna Kolyshkina (PricewaterhouseCoopers)
Decision trees and their hybrids: business applications. Case study.
7:00
Dinner (not included in registration)
Friday 3 October 2003
9:00 – 10:00
Alex Smola (Australian National)
Gaussian Processes for Estimation and Clustering
10:00 – 11:00
Steve Marron (North Carolina)
Distance Weighted Discrimination & Geometrical Representation of High Dimension - Low Sample Size data
11:00 – 11:15
11:15 – 12:15
Xiatong Shen (Ohio)
From Margin-Based Classification to psi-Learning
12:15 – 1:30
1:30 – 2:30
Ross Taplin (Murdoch)
Local Splitting Criteria for Classification and Regression Trees.
2:30 – 3:30
Markus Hegland (Australian National)
Algorithms for Supervised Learning with Generalised Sparse Grids
3:30 – 3:45
3:45 – 4:45
Learning from Brain Images
4:45 – 5:00
Closing remarks.
