Rohan A. Baxter

27 papers A* 4A 2B 8Misc 1Journal 2Unranked 5
YearRankTypeTitle / Venue / Authors
2017 — ch.
Minimum Message Length.
Encyclopedia of Machine Learning and Data Mining
Rohan A. Baxter
2017 — ch.
Mixture Model.
Encyclopedia of Machine Learning and Data Mining
Rohan A. Baxter
2010 B conf
A Stratified Model for Short-Term Prediction of Time Series.
PRICAI
Yihao Zhang, Mehmet A. Orgun, Rohan A. Baxter, Weiqiang Lin
2010 A* conf
An Application of Element Oriented Analysis Based Credit Scoring.
ICDM
Yihao Zhang, Mehmet A. Orgun, Rohan A. Baxter, Weiqiang Lin
2010 — ch.
Minimum Message Length.
Encyclopedia of Machine Learning
Rohan A. Baxter
2010 — ch.
Mixture Model.
Encyclopedia of Machine Learning
Rohan A. Baxter
2008 B conf
Mining Multidimensional Data through Element Oriented Analysis.
PRICAI
Yihao Zhang, Mehmet A. Orgun, Weiqiang Lin, Rohan A. Baxter
2007 Misc conf
Predictive Model of Insolvency Risk for Australian Corporations.
AusDM
Rohan A. Baxter, Mark Gawler, Russell Ang
2006 — conf
A Data Network for Health e-Research.
ECEH
Kerry L. Taylor, Christine M. O'Keefe, John Colton, Rohan A. Baxter, Ross Sparks, Mark A. Cameron, Laurent Lefort, Uma Srinivasan
2006 — ch.
Decision Models for Record Linkage.
Selected Papers from AusDM
Lifang Gu, Rohan A. Baxter
2006 — conf
Finding Robust Models Using a Stratified Design.
Australian Conference on Artificial Intelligence
Rohan A. Baxter
2004 B conf
A Service Oriented Architecture for a Health Research Data Network.
SSDBM
Kerry L. Taylor, Christine M. O'Keefe, John Colton, Rohan A. Baxter, Ross Sparks, Uma Srinivasan, Mark A. Cameron, Laurent Lefort
2004 A conf
Adaptive Filtering for Efficient Record Linkage.
SDM
Lifang Gu, Rohan A. Baxter
2004 — conf
Privacy-preserving data linkage protocols.
WPES
Christine M. O'Keefe, Ming Yung, Lifang Gu, Rohan A. Baxter
2002 A* conf
A Comparative Study of RNN for Outlier Detection in Data Mining.
ICDM
Graham J. Williams, Rohan A. Baxter, Hongxing He, Simon Hawkins, Lifang Gu
2002 — conf
Estimating Episodes of Care Using Linked Medical Claims Data.
Australian Joint Conference on Artificial Intelligence
Graham J. Williams, Rohan A. Baxter, Chris Kelman, Chris P. Rainsford, Hongxing He, Lifang Gu, Deanne Vickers, Simon Hawkins
2002 B conf
Outlier Detection Using Replicator Neural Networks.
DaWaK
Simon Hawkins, Hongxing He, Graham J. Williams, Rohan A. Baxter
2001 — conf
Data Mining of Administrative Claims Data for Pathology Services.
HICSS
Simon Hawkins, Graham J. Williams, Rohan A. Baxter, Peter Christen, Michael J. Fett, Markus Hegland, Fuchun Huang, Ole Møller Nielsen, Tatiana Semenova, Andrew Smith
2001 B conf
Feature Selection for Temporal Health Records.
PAKDD
Rohan A. Baxter, Graham J. Williams, Hongxing He
2000 J jnl
Finding overlapping components with MML.
Stat. Comput.
Rohan A. Baxter, Jonathan J. Oliver
1998 A* conf
Analysing Rock Samples for the Mars Lander.
KDD
Jonathan J. Oliver, Ted Roush, Paul Gazis, Wray L. Buntine, Rohan A. Baxter, Steven R. Waterhouse
1998 B conf
Minimum Message Length Segmentation.
PAKDD
Jonathan J. Oliver, Rohan A. Baxter, Chris S. Wallace
1998 B conf
Point Estimation Using the Kullback-Leibler Loss Function and MML.
PAKDD
David L. Dowe, Rohan A. Baxter, Jonathan J. Oliver, Chris S. Wallace
1997 A conf
Finding Overlapping Distributions with MML.
AISTATS
Rohan A. Baxter, Jonathan J. Oliver
1996 J jnl
Energy efficient neural codes.
Neural Comput.
William B. Levy, Rohan A. Baxter
1996 B conf
The Kindest Cut: Minimum Message Length Segmentation.
ALT
Rohan A. Baxter, Jonathan J. Oliver
1996 A* conf
Unsupervised Learning Using MML.
ICML
Jonathan J. Oliver, Rohan A. Baxter, Chris S. Wallace