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

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.
Keywords Induction  Popper  Statistical learning theory  Falsification  Dimension of a theory
Categories (categorize this paper)
DOI 10.2307/40390670
Options
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history Request removal from index
 
Download options
PhilPapers Archive


Upload a copy of this paper     Check publisher's policy on self-archival     Papers currently archived: 17,809
External links
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library
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.

View all 7 references / Add more references

Citations of this work BETA

Add more citations

Similar books and articles

Monthly downloads

Added to index

2009-08-22

Total downloads

19 ( #166,056 of 1,780,199 )

Recent downloads (6 months)

1 ( #291,056 of 1,780,199 )

How can I increase my downloads?

My notes
Sign in to use this feature


Discussion
Start a new thread
Order:
There  are no threads in this forum
Nothing in this forum yet.