Falsificationism and statistical learning theory: Comparing the popper and vapnik-chervonenkis dimensions

Journal for General Philosophy of Science

Volumn 40, Issue 1, 2009, Pages 51-58

  Corfield, David ^a   Schölkopf, Bernhard ^b   Vapnik, Vladimir ^c  

^a UNIVERSITY OF KENT   (United Kingdom)

^b MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^c NEC LABORATORIES AMERICA   (United States)

Author keywords

Dimension of a theory; Falsification; Induction; Popper; Statistical learning theory

Indexed keywords

EID: 70350340079     PISSN: 09254560     EISSN: 15728587     Source Type: Journal    
DOI: 10.1007/s10838-009-9091-3     Document Type: Article

References (7)

1. Gillies, D. (2000). Philosophical theories of probability. London: Routledge.
2. Harman, G., & Kulkarni, S. (2007). Reliable reasoning: Induction and statistical learning theory. Cambridge: MIT Press.
3. Popper, K. (1959). The logic of scientific discovery, Hutchinson, translation of Logik der Forschung, 1934.
4. Popper, K. (1963). Conjectures and refutations. London: Routledge.
5. Tichy, P. (1974). On Popper's definitions of verisimilitude. British Journal of Philosophy of Science,25, 155-160.
6. Turney, P. (1991). A note on Popper's equation of simplicity with falsifiability. British Journal for the Philosophy of Science,42, 105-109.
7. Vapnik, V. (1995). The nature of statistical learning theory. New York: Springer.