Computer Science – Learning
Scientific paper
2002-01-08
Computer Science
Learning
LaTeX 13 pages; Proc 8th COCOON, LNCS 2387, Springer-Verlag, Berlin, 2002, 411--419
Scientific paper
We provide a new representation-independent formulation of Occam's razor theorem, based on Kolmogorov complexity. This new formulation allows us to: (i) Obtain better sample complexity than both length-based and VC-based versions of Occam's razor theorem, in many applications. (ii) Achieve a sharper reverse of Occam's razor theorem than previous work. Specifically, we weaken the assumptions made in an earlier publication, and extend the reverse to superpolynomial running times.
Li Ming
Tromp John
Vitanyi Paul
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