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Matching Catalogues by Probabilistic Pattern Classification
D. J. Rohde, M. R. Gallagher, M. J. Drinkwater +1
We consider the statistical problem of catalogue matching from a machine learning perspective with the goal of producing probabilistic outputs, and using all available information.…
Galaxy Groups: Proceedings from a Swinburne University Workshop
Virginia A. Kilborn, Kenji Bekki, Sarah Brough +6
We present the proceedings from a 2-day workshop held at Swinburne University on the 24th-25th of May 2005. The workshop participants highlighted current Australian research on bot…
The HIPASS Catalogue: III - Optical Counterparts & Isolated Dark Galaxies
Marianne T. Doyle, M. J. Drinkwater, D. J. Rohde +38
We present the largest catalogue to date of optical counterparts for HI radio-selected galaxies, Hopcat. Of the 4315 HI radio-detected sources from the HI Parkes All Sky Survey (Hi…
Applying Machine Learning to Catalogue Matching in Astrophysics
D J Rohde, M J Drinkwater, M R Gallagher +2
We present the results of applying automated machine learning techniques to the problem of matching different object catalogues in astrophysics. In this study we take two partially…