Category and measure in complexity classes
SIAM Journal on Computing
Almost everywhere high nonuniform complexity
Journal of Computer and System Sciences
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Measure on P: strength of the notion
Information and Computation
The quantitative structure of exponential time
Complexity theory retrospective II
Probabilistic Martingales and BPTIME Classes
COCO '98 Proceedings of the Thirteenth Annual IEEE Conference on Computational Complexity
Baire categories on small complexity classes and meager--comeager laws
Information and Computation
Martingale families and dimension in p
CiE'06 Proceedings of the Second conference on Computability in Europe: logical Approaches to Computational Barriers
Martingale families and dimension in P
Theoretical Computer Science
Axiomatizing resource bounds for measure
CiE'11 Proceedings of the 7th conference on Models of computation in context: computability in Europe
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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.