Falsificationism and statistical learning theory: Comparing the Popper and vapnik-chervonenkis dimensions [Book Review]

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.
Keywords Induction  Popper  Statistical learning theory  Falsification  Dimension of a theory
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DOI 10.2307/40390670
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References found in this work BETA
K. R. Popper (1966). Conjectures and Refutations. Les Etudes Philosophiques 21 (3):431-434.
Pavel Tichý (1974). On Popper's Definitions of Verisimilitude. British Journal for the Philosophy of Science 25 (2):155-160.

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