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EDBT 2026 Demo / reviewers in the wild / expert

Edward L. Melnick

dblp:20/3446 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1973
—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.

Theoretical computer science
1 paper
Information theory · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory › hypothesis testing › signal detection
gaussian signal detection		 0.011973
An application of the minimum discrimination information estimate for detecting Gaussian signals (Corresp.) · IEEE Trans. Inf. Theory 1973
Information theory › hypothesis testing
signal detection		 0.011973
An application of the minimum discrimination information estimate for detecting Gaussian signals (Corresp.) · IEEE Trans. Inf. Theory 1973

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

radon-nikodym derivative · 0.0log-likelihood ratio · 0.0
YearPublicationVenuePosition
1973 An application of the minimum discrimination information estimate for detecting Gaussian signals (Corresp.)
abstract
The minimum discrimination information estimate is used to compute the log-likelihood ratio, or logarithm of the Radon-Nikodym derivative, when the Gaussian signal has one of two covariance functions.
Edward L. Melnick
 IEEE Trans. Inf. Theory1