University of Liege | Version française
	Study programmes 2007-2008 Last update : 7/05/2008
	ELEN0062-1   Applied Inductive Learning Duration :   30h Th, 30h Pr Credits/ECTS :   civil engineering in electricity, 3rd year 6,5 civil engineer in computer sciences, 3rd year 5,5 "licencié" in computer, 2nd year 6 Master in Bio-informatics and Modelling, Research focus, 1st year 6 Master in Statistics : General, Research focus, 2nd year 6 Holder(s) :   Louis Wehenkel Language :   Langue française Course contents :   Inductive learning consists of building automatically a general solution to a problem from a set of solutions of specific instances of this problem. Its applications are multitudinous: extraction medical diagnostic decision rules from clinical databases; bioinformatics; construction of credit allocation procedures from bank customer databases; computer vision; modeling, optimisation and control of complex systems; automatic syntesis of algorithms; extraction of knowledge from human experts... The theoretcal part of the course introduces the different types of automatic learning problems (explorative data mining, automatic classification automatique, approximation), the main underlying principles (bias/variance tradeoff, validation) as well as the main families of methods (statistical, symbolic, artificial neural nets). Practical exercises allow the students to become familiar with these concepts by applying them to a real databases. Organization :   1st semester Remarks :   Web page: http://www.montefiore.ulg.ac.be/~lwh/AIA Home Search by Faculty Search by teacher Search by course code and title
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