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Mike Bain's Information Page

Mike Bain

Senior Lecturer

Research Areas
To update this page please go to myCSE.
Office:	K17 401H
Phone:	+61 2 9385 6935 (Internal: x56935)
Fax:	+61 2 9385 4936 (Internal: x54936)
Email:
Mail:	School of Computer Science and Engineering The University of New South Wales Sydney 2052, Australia
	Machine Learning Inductive Logic Programming Behavioural Cloning Concept Analysis Bioinformatics
Publications
	Virtual Apparatus Approach To Constructing Adaptive Tutorials D Ben-Naim, N Marcus, M Bain, 2007 international conference on e-learning, e-business, enterprise information systems, and e-government, Proceedings, H. Arabnia, A. Bahrami. CSREA press, USA, 2007, pp. 3 - 10
	Learning From Ontological Annotation: An Application Of Formal Concept Analysis To Feature Construction In The Gene Ontology E Akand, M Bain, Advances in ontologies 2007, T. Meyer and A. Nayak. Australian computer society, Adelaide, 2007, pp. 9 - 17
	Ihmmune-Align: Hidden Markov Model-Based Alignment And Identification Of Germline Genes In Rearranged Immunoglobulin Gene Sequences B Gaeta, H Malming, K Jackson, M Bain, P Wilson, A Collins, Bioinformatics, . Oxford Univ Press, Oxford, 2007, pp. 1580 - 1587
	Reconsidering The Human Immunoglobulin Heavy-Chain Locus: 1. An Evaluation Of The Expressed Human Ighd Gene Repertoire C Lee, B Gaeta, H Malming, M Bain, W Sewell, A Collins, Immunogenetics, . Springer, New York, 2006, pp. 917 - 925
	Learning Causal Networks From Microarray Data M Bain, N Ahsan, J Potter, B Gaeta, M Temple, I Dawes, Intelligent systems for bioinformatics, M. Boden, T. Bailey. Australian computer society inc., Sydney, Australia, 2006, pp. 3 - 8
	Predicate Invention And The Revision Of First-Order Concept Lattices M Bain, CONCEPT LATTICES, PROCEEDINGS, P. Eklund. SPRINGER-VERLAG BERLIN, BERLIN, 2004, pp. 329 - 336
	A Knowledge Acquisition Approach For Composite Aerospace Component Design. C Reidsema, M Bain, J Raju, D Kelly, The Fifth Asia-Pacific Industrial Engineering and Management Systems Conference 200 & The Seventh Asia-Pacific Division Meeting of the International Foundation of Production Research (APIEMS2004) (CD-ROM), E Kozan. Queensland University of Technology, Queensland, Australia, 2004, pp. 1 - 10
	Learning Quantitative Gene Interactions From Microarray Data M Bain, B Gaeta, Proceedings of 2nd Australasian Data Mining Workshop, S. Simoff, G. Williams, M. Hegland. UJniversity Technology Sydney, Sydney, 2003, pp. 35 - 49
	Learning Ontologies From Concept Lattices M Bain, Using Conceptual Structures - Contributions to ICCS 2003, B. Ganter, A. de Moor. Shaker Verlag, Aachen, 2003, pp. 199 - 212
	Inductive Construction Of Ontologies From Formal Concept Analysis M Bain, AI 2003: Advances in Artificial Intelligence, T. Gedeon, L. Fung. Springer, Berlin, 2003, pp. 88 - 99
	An Empirical Study Of The Use Of Relevance Information In Inductive Logic Programming A Srinivasan, R King, M Bain, Journal of Machine Learning Research, R. Dybowski, K. Laskey, J. Myers, S. Parsons. MIT Press, Cambridge, USA, 2003, pp. 369 - 383
	Structured Features From Concept Lattices For Unsupervised Learning And Classification M Bain, AI2002: Advances In Artificial Intelligence, Bob McKay; John Slaney. Springer, Berlin, 2002, pp. 557 - 568
	Revising Concept Lattices To Extract Concept Definitions M Bain, The 2002 Pacific Rim Knowledge Acquisition Workshop (PKAW 2002), Takahira Yamaguchi; Achim Hoffmann; Hiroshi Motoda; Paul Compton. Japan Society for Artificial Intelligence, Tokyo, Japan, 2002, pp. 87 - 101
	Motor Skill As Dynamic Constraint Satisfaction M Bain, K Furukawa, K Ueno, Electronic Transactions on Artificial Intelligence, . Linkoping University Electronic Press, Royal Swedish Academy of Sciences, 2001, pp. 79 - 92
	Analogical Prediction S Muggleton, M Bain, ILP99 - Inductive Logic Programming, 1999, . Springer, Berlin, 1999, pp. 234 - 244

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