An empirical study of the complexity and randomness of prediction error sequences-Reference-Cited by-同舟云学术

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An empirical study of the complexity and randomness of prediction error sequences

Published:2011-07 Issue:7 Volume:16 Page:2832-2844
ISSN:1007-5704
Container-title:Communications in Nonlinear Science and Numerical Simulation
language:en
Short-container-title:Communications in Nonlinear Science and Numerical Simulation

Author:

Ratsaby Joel

Publisher

Elsevier BV

Subject

Applied Mathematics,Modelling and Simulation,Numerical Analysis

Reference29 articles.

1. Neural Network Learning: Theoretical Foundations;Anthony,1999

2. Some properties of Kolmogorov δ random finite sequences;Asarin;SIAM Theory Prob Appl,1987

3. On some properties of finite objects random in an algorithmic sense;Asarin;Soviet Math Dokl,1988

4. Model selection and error estimation;Bartlett;Mach Learn,2002

5. Bienvenu L. Kolmogorov-Loveland stochasticity and Kolmogorov complexity. In: 24th Annual symposium on theoretical aspects of computer science (STACS 2007). LNCS, vol. 4393; 2007, p. 260–271.

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