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Journal Article (2)

1.
Journal Article
Corfield, D.: Varieties of Justification in Machine Learning. Minds and machines: journal for artificial intelligence, philosophy and cognitive science 20 (2), pp. 291 - 301 (2010)
2.
Journal Article
Corfield, D.; Schölkopf, B.; Vapnik, V.: Falsificationism and Statistical Learning Theory: Comparing the Popper and Vapnik-Chervonenkis Dimensions. Journal for General Philosophy of Science 40 (1), pp. 51 - 58 (2009)

Book Chapter (1)

3.
Book Chapter
Corfield, D.: Projection and Projectability. In: Dataset Shift in Machine Learning, 2, pp. 29 - 38 (Eds. Quiñonero-Candela, J.; Sugiyama, M.; Schwaighofer, A.; Lawrence, N.). MIT Press, Cambridge, MA, USA (2009)

Conference Paper (1)

4.
Conference Paper
Corfield, D.: Varieties of Justification in Machine Learning. In: Multiplicity and Unification in Statistics and Probability (MUSP 2009), pp. 1 - 10. Multiplicity and Unification in Statistics and Probability (MUSP 2009), Canterbury, UK, June 22, 2009 - September 26, 2015. (2009)

Talk (1)

5.
Talk
Corfield, D.: n-Categories in the Light of Earlier Debates on Correct Generality in Category Theory. École Normale Supérieure: Journée Aspects historiques et philosophiques de la théorie des Catégories, Paris, France (2005)

Report (1)

6.
Report
Corfield, D.; Schölkopf, B.; Vapnik, V.: Popper, Falsification and the VC-dimension (Technical Report of the Max Planck Institute for Biological Cybernetics, 145). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 5 pp.
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