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Resource-bounded Measure on Probabilistic Classes

Moser, Philippe (2008) Resource-bounded Measure on Probabilistic Classes. Information Processing Letters, 106 (6). pp. 241-245. ISSN 0020-0190

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Abstract

We extend Lutz’s resource-bounded measure to probabilistic classes, and obtain notions of resource-bounded measure on probabilistic complexity classes such as BPE and BPEXP. Unlike former attempts, our resource bounded measure notions satisfy all three basic measure properties, that is every singleton {L} has measure zero, the whole space has measure one, and "enumerable infinite unions" of measure zero sets have measure zero.

Additional Information:Preprint version of original published article: Moser, Philippe, Resource-bounded measure on probabilistic classes in Information Processing Letters, Volume 106, Issue 6, 15 June 2008, Pages 241-245, http://www.sciencedirect.com/ doi:10.1016/j.ipl.2007.11.019
Keywords:Resource-bounded Measure; Probabilistic complexity classes; Lutz;
Subjects:Science & Engineering > Computer Science
ID Code:3501
Deposited By:Philippe Moser
Deposited On:29 Feb 2012 14:26
Journal or Publication Title:Information Processing Letters
Publisher:Elsevier
Refereed:Yes
URL:http://www.sciencedirect.com/, http://www.journals.elsevier.com/information-processing-letters/

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