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  Falsificationism and Statistical Learning Theory: Comparing the Popper and Vapnik-Chervonenkis Dimensions

Corfield, D., Schölkopf, B., & Vapnik, V. (2009). Falsificationism and Statistical Learning Theory: Comparing the Popper and Vapnik-Chervonenkis Dimensions. Journal for General Philosophy of Science, 40(1), 51-58. doi:10.1007/s10838-009-9091-3.

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Corfield, D1, Author           
Schölkopf, B1, Author           
Vapnik, V2, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: We compare Karl Popper’s ideas concerning the falsifiability of a theory with similar notions from the part of statistical learning theory known as VC-theory. Popper’s notion of the dimension of a theory is contrasted with the apparently very similar VC-dimension. Having located some divergences, we discuss how best to view Popper’s work from the perspective of statistical learning theory, either as a precursor or as aiming to capture a different learning activity.

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 Dates: 2009-07
 Publication Status: Issued
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Title: Journal for General Philosophy of Science
Source Genre: Journal
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Pages: - Volume / Issue: 40 (1) Sequence Number: - Start / End Page: 51 - 58 Identifier: -