Corfield, D.N. (2010) Varieties of Justification in Machine Learning. Minds and Machines, 20 (2). pp. 291-301. ISSN 0924-6495.
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Forms of justification for inductive machine learning techniques are discussed and classified into four types. This is done with a view to introduce some of these techniques and their justificatory guarantees to the attention of philosophers, and to initiate a discussion as to whether they must be treated separately or rather can be viewed consistently from within a single framework.
|Subjects:||B Philosophy. Psychology. Religion > B Philosophy (General)|
|Divisions:||Faculties > Humanities > School of European Culture and Languages|
|Depositing User:||David Corfield|
|Date Deposited:||27 Jun 2011 14:13|
|Last Modified:||30 Nov 2011 12:37|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/27989 (The current URI for this page, for reference purposes)|
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