Demo Data from EDBT 2026 / reviewers in the wild / expert
Thomas D. Linton
dblp:177/1206
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1973
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 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.
| Theoretical computer science
1 paper |
Mathematical optimization · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 50% Performance modeling and evaluation · 50% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Mathematical optimization › statistical estimation › point estimation
nonlinear estimation |
0.0 | 1 | 1973 | Digital and Hybrid Computational Aspects of the Discrete Representation Theorem of Nonlinear Estimation · IEEE Trans. Computers 1973 |
Embedded and real-time systems
hybrid computation |
0.0 | 1 | 1973 | Digital and Hybrid Computational Aspects of the Discrete Representation Theorem of Nonlinear Estimation · IEEE Trans. Computers 1973 |
Performance modeling and evaluation › simulation
monte carlo methods |
0.0 | 1 | 1973 | Digital and Hybrid Computational Aspects of the Discrete Representation Theorem of Nonlinear Estimation · IEEE Trans. Computers 1973 |
Methods — techniques the papers use, named apart from their topics
monte carlo analysis · 0.0hybrid computation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1973 | Digital and Hybrid Computational Aspects of the Discrete Representation Theorem of Nonlinear EstimationabstractA nonlinear filtering problem is investigated, and the discrete representation theorem is used to synthesize the optimal filter. An optimal filtering algorithm is described, and hybrid techniques are employed to effect several methods of implementing the algorithm on a hybrid computer. These implementations are then compared (via Monte Carlo analysis) on the bases of speed and accuracy. It is concluded that hybrid computation techniques can be used to advantage when studying proposed nonlinear optimal estimation formulations. Edgar C. Tacker, Thomas D. Linton |
IEEE Trans. Computers | 2 |