Almost everywhere high nonuniform complexity
Journal of Computer and System Sciences
Measure, Stochasticity, and the Density of Hard Languages
SIAM Journal on Computing
A New Characterization of Type-2 Feasibility
SIAM Journal on Computing
Measure on P: strength of the notion
Information and Computation
COCO '98 Proceedings of the Thirteenth Annual IEEE Conference on Computational Complexity
On characterizations of the basic feasible functionals, Part I
Journal of Functional Programming
Logics for reasoning about cryptographic constructions
Journal of Computer and System Sciences - Special issue on FOCS 2003
Resource-bounded measure on probabilistic classes
Information Processing Letters
Martingale families and dimension in P
Theoretical Computer Science
Measure on small complexity classes, with applications for BPP
SFCS '94 Proceedings of the 35th Annual Symposium on Foundations of Computer Science
An Outer-Measure Approach for Resource-Bounded Measure
Theory of Computing Systems
Polynomial and abstract subrecursive classes
Journal of Computer and System Sciences
Dimension, halfspaces, and the density of hard sets
COCOON'07 Proceedings of the 13th annual international conference on Computing and Combinatorics
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Resource-bounded measure is a generalization of classical Lebesgue measure that is useful in computational complexity. The central parameter of resource-bounded measure is the resource bound Δ, which is a class of functions. Most applications of resource-bounded measure use only the "measure-zero/measure-one fragment" of the theory. For this fragment, Δ can be taken to be a class of type-one functions. However, in the full theory of resource-bounded measurability and measure, the resource bound Δ also contains type-two functionals. To date, both the full theory and its zero-one fragment have been developed in terms of a list of example resource bounds. This paper replaces this list-of-examples approach with a careful investigation of the conditions that suffice for a class Δ to be a resource bound.