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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| Official URL http://dx.doi.org/10.1007/s11023-010-9191-1 |
Abstract
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.
| Item Type: | Article |
|---|---|
| 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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