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20082026
most citedParameterized Complexity Results for Exact Bayesian Network Structure Learning

58 citations · 239 across the 47 of their papers we have counts for

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cs.CC2014

A Parameterized Study of Maximum Generalized Pattern Matching Problems

Sebastian Ordyniak, Alexandru Popa

The generalized function matching (GFM) problem has been intensively studied starting with [Ehrenfeucht and Rozenberg, 1979]. Given a pattern p and a text t, the goal is to find a…

cs.LO2014★ 4 cited

Faster Existential FO Model Checking on Posets

Jakub Gajarský, Petr Hliněný, Jan Obdržálek +1

We prove that the model checking problem for the existential fragment of first-order (FO) logic on partially ordered sets is fixed-parameter tractable (FPT) with respect to the for…

cs.DM2014

Tree-depth and Vertex-minors

Petr Hliněný, O-joung Kwon, Jan Obdržálek +1

In a recent paper, Kwon and Oum claim that every graph of bounded rank-width is a pivot-minor of a graph of bounded tree-width (while the converse has been known true already befor…

cs.DS2014★ 1 cited

The Complexity of Repairing, Adjusting, and Aggregating of Extensions in Abstract Argumentation

Eun Jung Kim, Sebastian Ordyniak, Stefan Szeider

We study the computational complexity of problems that arise in abstract argumentation in the context of dynamic argumentation, minimal change, and aggregation. In particular, we c…

cs.AI2014★ 58 cited

Parameterized Complexity Results for Exact Bayesian Network Structure Learning

Sebastian Ordyniak, Stefan Szeider

Bayesian network structure learning is the notoriously difficult problem of discovering a Bayesian network that optimally represents a given set of training data. In this paper we…