Corfield, David (2010) Varieties of Justification in Machine Learning. Minds and Machines, 20 (2). pp. 291-301. ISSN 0924-6495. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)
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:||15 May 2014 13:04|
|Resource URI:||https://kar.kent.ac.uk/id/eprint/27989 (The current URI for this page, for reference purposes)|