Corfield, David (2009) Projection and Projectability. In: Quinonero-Candela, Joaquin and Sugiyama, Masashi and Schwaighofer, Anton and Lawrence, Neil, eds. Dataset Shift in Machine Learning. MIT Press, Cambridge, MA, pp. 29-38. ISBN 978-0-262-17005-5. (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) (KAR id:23347)
| 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. |
Abstract
The problem of dataset shift can be viewed in the light of the more general problems of induction, in particular the question of what it is about some objects' features or properties which allow us to project correlations confidently to other times and other places.
| Item Type: | Book section |
|---|---|
| Subjects: | B Philosophy. Psychology. Religion > B Philosophy (General) |
| Divisions: | Divisions > Division of Arts and Humanities > School of Culture and Languages |
| Depositing User: | David Corfield |
| Date Deposited: | 04 Apr 2010 19:12 UTC |
| Last Modified: | 16 Nov 2021 10:01 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/23347 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Corfield, David.
| Creator's ORCID: |
 https://orcid.org/0000-0003-0432-3221
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