PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Meaningful Information
Paul Vitányi
IEEE Transactions on Information Theory Volume 52, Number 10, pp. 4617-4627, 2006.

Abstract

The information in an individual object is commonly measured by its Kolmogorov complexity. One can divide this information in two parts: the information accounting for the useful regularity in the object and the information accounting for the remaining accidental information

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:2800
Deposited By:Paul Vitányi
Deposited On:22 November 2006