Demo Data from EDBT 2026 / reviewers in the wild / expert
Y.-C. Park
dblp:04/3678
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1983
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1
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.
| Computer networks
1 paper |
Physical-layer communications · 81% Network performance modeling · 19% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
optical communication |
0.0 | 1 | 1983 | Optimal point process estimators of Gaussian optical field intensities · IEEE Trans. Inf. Theory 1983 |
Network performance modeling › point process
markov modulated poisson process |
0.0 | 1 | 1983 | Optimal point process estimators of Gaussian optical field intensities · IEEE Trans. Inf. Theory 1983 |
Physical-layer communications
signal detection |
0.0 | 1 | 1983 | Optimal point process estimators of Gaussian optical field intensities · IEEE Trans. Inf. Theory 1983 |
Methods — techniques the papers use, named apart from their topics
posterior conditional density · 0.0minimum mean square error estimation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1983 | Optimal point process estimators of Gaussian optical field intensitiesabstractStochastic equations of evolution are given for the intensity of a Gaussian optical field, the posterior conditional probability density for the field intensity based on observations of a doubly stochastic Poisson counting process, and approximately minimum mean-square error estimates of the field intensity. Frederick M. Davidson, Y.-C. Park |
IEEE Trans. Inf. Theory | 2 |