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a computer scientist and senior lecturer at School of Computer Science & Engineering, [|University of New South Wales] in [|Sydney], [|New South Wales], [|Australia]. His research interests include machine learning, [|inductive logic programming], behavioural [|cloning], [|concept analysis] and [|bioinformatics].  =Learning KRK= In 1994, Michael Bain defended his Ph.D. thesis in machine learning at [|University of Strathclyde], [|Glasgow], [|Scotland], titled //Learning Logical Exceptions in Chess// which covers the endgame KRK. Donald Michie had employed him at the //Turing Institute//, until 1993 associated with Strathclyde, to work on the [|US Army] chess project, and where he researched on machine learning along with Jean Hayes Michie, Stephen Muggleton and Ivan Bratko.
 * Michael (Mike) Bain**,

=Selected Publications=
 * Donald Michie and Michael Bain (**1989**). //Machines That Learn and Machines That Teach//. [|SCAI 1989]
 * Stephen Muggleton, Michael Bain, Jean Hayes Michie, Donald Michie (**1989**). //An Experimental Comparison of Human and Machine Learning Formalisms//. [|6. ML 1989], [|pdf]
 * Michael Bain (**1992**). //Learning optimal chess strategies.// [|ILP92]
 * Ashwin Srinivasan, Stephen Muggleton, Michael Bain (**1992**). //Distinguishing Noise from Exceptions in Non-monotonic Learning//. [|ILP92]
 * Michael Bain (**1994**). //Learning Logical Exceptions in Chess//. Ph.D. thesis, [|University of Strathclyde], [|CitySeerX]
 * Michael Bain and Stephen Muggleton (**1994**). //Learning Optimal Chess Strategies//. [|Machine Intelligence 13]
 * Michael Bain and Ashwin Srinivasan (**1995**). //Inductive logic programming with large-scale unstructured data//. [|Machine Intelligence 14]
 * Michael Bain, Stephen Muggleton, Ashwin Srinivasan (**2000**). //Generalising Closed World Specialisation: A Chess End Game Application//. [|CitySeerX]

=External Links=
 * [|Mike Bain - School of Computer Science & Engineering, UNSW]
 * [|Dr Michael Bain | UNSW Research Gateway]
 * [|Mike Bain's Home Page]
 * [|UCI Machine Learning Repository: Chess (King-Rook vs. King) Data Set]

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