Demo Data from EDBT 2026 / reviewers in the wild / expert
Lee M. Spetner
dblp:134/3820
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1968
—ORCID · none
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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% | |
| Theoretical computer science
1 paper |
Information theory · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
evolutionary computation |
0.0 | 1 | 1968 | Information transmission in evolution · IEEE Trans. Inf. Theory 1968 |
Information theory
information measures |
0.0 | 1 | 1968 | Information transmission in evolution · IEEE Trans. Inf. Theory 1968 |
Methods — techniques the papers use, named apart from their topics
probabilistic modeling · 0.0mutation model · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1968 | Information transmission in evolutionabstractOn the basis of a model previously established for the random-mutation portion of the synthetic theory of evolution, an investigation is made of the information that can be transmitted from the environment to the evolving species. The probability that a given adaptive character is produced decreases with increasing information measure of the adaptive character. The average information transmitted in any one evolutionary step is defined as the product of the information and its probability of transmission. The average information turns out to be very small for a reasonable number of trials and reasonable gene size. This is consistent with the conjecture that evolution proceeds in small steps, and the size of a step can be discussed quantitatively in terms of the amount of adaptive information that is being transmitted into the species. Lee M. Spetner |
IEEE Trans. Inf. Theory | 1 |