EDBT 2026 Demo / reviewers in the wild / expert
Marta Neve
dblp:94/4241
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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.
| Artificial intelligence
1 paper |
Kernel, tree and ensemble methods · 75% Learning theory · 25% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Kernel, tree and ensemble methods
kernel methods |
0.1 | 1 | 2007 | On the Representer Theorem and Equivalent Degrees of Freedom of SVR · J. Mach. Learn. Res. 2007 |
Machine learning › Kernel, tree and ensemble methods › kernel methods
representer theorem |
0.1 | 1 | 2007 | On the Representer Theorem and Equivalent Degrees of Freedom of SVR · J. Mach. Learn. Res. 2007 |
Machine learning › Kernel, tree and ensemble methods › support vector machine
support vector regression |
0.1 | 1 | 2007 | On the Representer Theorem and Equivalent Degrees of Freedom of SVR · J. Mach. Learn. Res. 2007 |
Methods — techniques the papers use, named apart from their topics
representer theorem · 0.1degrees of freedom analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | On the Representer Theorem and Equivalent Degrees of Freedom of SVR
Francesco Dinuzzo, Marta Neve, Giuseppe De Nicolao, Ugo Pietro Gianazza |
J. Mach. Learn. Res. | 2 |