Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Roland Heim

dblp:134/5200 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 1979
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Computational complexity · 40% Coding theory · 40% Information theory · 20%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory
algorithmic information theory
0.011979
On the algorithmic foundation of information theory · IEEE Trans. Inf. Theory 1979
Computational complexity › algorithmic randomness
martingales
0.011979
On the algorithmic foundation of information theory · IEEE Trans. Inf. Theory 1979
Computational complexity › complexity measures
program complexity
0.011979
On the algorithmic foundation of information theory · IEEE Trans. Inf. Theory 1979
Coding theory
source coding
0.011979
On the algorithmic foundation of information theory · IEEE Trans. Inf. Theory 1979
Coding theory › source coding › lossless compression
source coding theorem
0.011979
On the algorithmic foundation of information theory · IEEE Trans. Inf. Theory 1979

Methods — techniques the papers use, named apart from their topics

martingale theory · 0.0kolmogorov complexity · 0.0
YearPublicationVenuePosition
1979 On the algorithmic foundation of information theory
abstract
The information content of binary sequences is defined by minimal program complexity measures and is related to computable martingales. The equivalence of the complexity approach and the martingale approach after restriction to effective random tests is used to establish generalized source coding theorems and converses. Finite state complexity and decomposable martingales are related to classical block codes and the relative frequency behavior of sequences.
Roland Heim
IEEE Trans. Inf. Theory1