Demo Data from EDBT 2026 / reviewers in the wild / expert
Wolfgang Lindner 0002
dblp:l/WolfgangLindner-2
· DBLP profile ↗
13ranked-venue papers
3as first author
0since 2021 · last 2009
0000-0002-7473-7596ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 8 · 2 first-authorArtificial intelligence and machine learning · 5 · 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
2 papers |
Computational complexity · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational complexity
circuit complexity |
0.0 | 2 | 1998 | Resource Bounded Measure and Learnability · CCC 1998 On the Resource Bounded Measure of P/poly · CCC 1998 |
Computational complexity › structural complexity
resource-bounded measure |
0.0 | 2 | 1998 | Resource Bounded Measure and Learnability · CCC 1998 On the Resource Bounded Measure of P/poly · CCC 1998 |
Computational complexity › learning theory
learnability |
0.0 | 1 | 1998 | Resource Bounded Measure and Learnability · CCC 1998 |
Computational complexity › learning theory
PAC learning |
0.0 | 1 | 1998 | Resource Bounded Measure and Learnability · CCC 1998 |
Computational complexity › circuit complexity › circuit size
polynomial-size circuits |
0.0 | 1 | 1998 | Resource Bounded Measure and Learnability · CCC 1998 |
Computational complexity › circuit complexity › circuit size
p/poly |
0.0 | 1 | 1998 | On the Resource Bounded Measure of P/poly · CCC 1998 |
Methods — techniques the papers use, named apart from their topics
resource-bounded measure · 0.0diagonalization · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Parameterized learnability of juntas
Vikraman Arvind, Johannes Köbler, Wolfgang Lindner 0002 |
Theor. Comput. Sci. | 3 |
| 2007 | Parameterized Learnability of k -Juntas and Related Problems
Vikraman Arvind, Johannes Köbler, Wolfgang Lindner 0002 |
ALT | 3 |
| 2007 | A general dimension for query learning
José L. Balcázar, David Guijarro, Johannes Köbler, Wolfgang Lindner 0002 |
J. Comput. Syst. Sci. | 5 |
| 2006 | The complexity of learning concept classes with polynomial general dimension
Johannes Köbler, Wolfgang Lindner 0002 |
Theor. Comput. Sci. | 2 |
| 2005 | Learning DNF by Statistical and Proper Distance Queries Under the Uniform Distribution
Wolfgang Lindner 0002 |
ALT | 1 |
| 2002 | A General Dimension for Approximately Learning Boolean Functions
Johannes Köbler, Wolfgang Lindner 0002 |
ALT | 2 |
| 2002 | The Complexity of Learning Concept Classes with Polynomial General Dimension
Johannes Köbler, Wolfgang Lindner 0002 |
ALT | 2 |
| 2000 | On Distribution-Specific Learning with Membership Queries versus Pseudorandom Generation
Johannes Köbler, Wolfgang Lindner 0002 |
FSTTCS | 2 |
| 2000 | Resource-Bounded Measure and Learnability
Wolfgang Lindner 0002, Rainer Schuler, Osamu Watanabe 0001 |
Theory Comput. Syst. | 1 |
| 1998 | On the Resource Bounded Measure of P/polyabstractWe show that the class of sets having polynomial size circuits, P/poly, has EXP/sup NP/-measure zero under each of the following two assumptions: EXP/sup NP//spl ne/ZPP(/spl Sigma//sub 2//sup p/)(which holds if the polynomial time hierarchy does not collapse to ZPP(/spl Sigma//sub 2//sup p/)), or NP is not small (does not have EXP-measure zero). Johannes Köbler, Wolfgang Lindner 0002 |
CCC | 2 |
| 1998 | Resource Bounded Measure and LearnabilityabstractWe consider the resource bounded measure of polynomial-time learnable subclasses of polynomial-size circuits. We show that if EXP/spl ne/MA, then every PAC-learnable subclass of P/poly has EXP-measure zero. We introduce a nonuniformly computable variant of resource bounded measure and show that, for every fixed polynomial q, any polynomial-time learnable subclass of circuits of size q has measure zero with respect to P/poly. We relate our results to the question whether Boolean Circuits are polynomial-time learnable. Wolfgang Lindner 0002, Rainer Schuler, Osamu Watanabe 0001 |
CCC | 1 |
| 1997 | Oracles in Sigmap2 are Sufficient for Exact Learning
Johannes Köbler, Wolfgang Lindner 0002 |
ALT | 2 |
| 1997 | On Sets Turing Reducible to p-Selective Sets
Hans-Jörg Burtschick, Wolfgang Lindner 0002 |
Theory Comput. Syst. | 2 |