Note: fractal dimension and logarithmic loss unpredictability
Theoretical Computer Science
The dimensions of individual strings and sequences
Information and Computation
Theoretical Computer Science
Constructive dimension equals Kolmogorov complexity
Information Processing Letters
SIGACT news complexity theory column 48
ACM SIGACT News
Resource-bounded strong dimension versus resource-bounded category
Information Processing Letters
Hausdorff dimension and oracle constructions
Theoretical Computer Science
Dimension, entropy rates, and compression
Journal of Computer and System Sciences
Entropy rates and finite-state dimension
Theoretical Computer Science
A note on dimensions of polynomial size circuits
Theoretical Computer Science
The arithmetical complexity of dimension and randomness
ACM Transactions on Computational Logic (TOCL)
Theoretical Computer Science
Dimensions of Copeland--Erdös sequences
Information and Computation
The Kolmogorov complexity of infinite words
Theoretical Computer Science
Finite-state dimension and real arithmetic
Information and Computation
Constructive Dimension and Weak Truth-Table Degrees
CiE '07 Proceedings of the 3rd conference on Computability in Europe: Computation and Logic in the Real World
A Divergence Formula for Randomness and Dimension
CiE '09 Proceedings of the 5th Conference on Computability in Europe: Mathematical Theory and Computational Practice
Constructive dimension equals Kolmogorov complexity
Information Processing Letters
Resource-bounded strong dimension versus resource-bounded category
Information Processing Letters
Scaled dimension and nonuniform complexity
ICALP'03 Proceedings of the 30th international conference on Automata, languages and programming
Information measures for infinite sequences
Theoretical Computer Science
Complex network dimension and path counts
Theoretical Computer Science
Lower bounds for reducibility to the Kolmogorov random strings
CiE'10 Proceedings of the Programs, proofs, process and 6th international conference on Computability in Europe
A divergence formula for randomness and dimension
Theoretical Computer Science
Extracting Kolmogorov complexity with applications to dimension zero-one laws
Information and Computation
A zero-one SUBEXP-dimension law for BPP
Information Processing Letters
Effective dimensions and relative frequencies
Theoretical Computer Science
High-confidence predictions under adversarial uncertainty
Proceedings of the 3rd Innovations in Theoretical Computer Science Conference
Online learning and resource-bounded dimension: winnow yields new lower bounds for hard sets
STACS'06 Proceedings of the 23rd Annual conference on Theoretical Aspects of Computer Science
Two open problems on effective dimension
CiE'06 Proceedings of the Second conference on Computability in Europe: logical Approaches to Computational Barriers
Dimensions of copeland-erdös sequences
FSTTCS '05 Proceedings of the 25th international conference on Foundations of Software Technology and Theoretical Computer Science
Extracting kolmogorov complexity with applications to dimension zero-one laws
ICALP'06 Proceedings of the 33rd international conference on Automata, Languages and Programming - Volume Part I
Finite-sate dimension and real arithmetic
ICALP'06 Proceedings of the 33rd international conference on Automata, Languages and Programming - Volume Part I
Dimension characterizations of complexity classes
MFCS'06 Proceedings of the 31st international conference on Mathematical Foundations of Computer Science
Lempel-ziv dimension for lempel-ziv compression
MFCS'06 Proceedings of the 31st international conference on Mathematical Foundations of Computer Science
MFCS'05 Proceedings of the 30th international conference on Mathematical Foundations of Computer Science
MFCS'05 Proceedings of the 30th international conference on Mathematical Foundations of Computer Science
Dimension, halfspaces, and the density of hard sets
COCOON'07 Proceedings of the 13th annual international conference on Computing and Combinatorics
Base invariance of feasible dimension
Information Processing Letters
High-confidence predictions under adversarial uncertainty
ACM Transactions on Computation Theory (TOCT) - Special issue on innovations in theoretical computer science 2012
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A theory of resource-bounded dimension is developed using gales, which are natural generalizations of martingales. When the resource bound $\Delta$ (a parameter of the theory) is unrestricted, the resulting dimension is precisely the classical Hausdorff dimension (sometimes called "fractal dimension"). Other choices of the parameter $\Delta$ yield internal dimension theories in E, E2, ESPACE, and other complexity classes, and in the class of all decidable problems. In general, if $\mathcal{C}$ is such a class, then every set X of languages has a dimension in $\mathcal{C}$, which is a real number $\dim (X \mid \mathcal{C}) \in [0, 1]$. Along with the elements of this theory, two preliminary applications are presented: For every real number $0 \le \alpha \le \frac 1 2$, the set ${\rm FREQ}(\le \alpha)$, consisting of all languages that asymptotically contain at most $\alpha$ of all strings, has dimension $\mathcal{H}(\alpha)$---the binary entropy of $\alpha$---in E and in E2. For every real number $0 \le \alpha \le 1$, the set ${\rm SIZE}(\alpha \frac {2^n} n)$, consisting of all languages decidable by Boolean circuits of at most $\alpha \frac {2^n} n$ gates, has dimension $\alpha$ in ESPACE.