Machine Learning
COCOON '02 Proceedings of the 8th Annual International Conference on Computing and Combinatorics
On the number of vertices belonging to all maximum stable sets of a graph
Discrete Applied Mathematics - Workshop on discrete optimization DO'99, contributions to discrete optimization
Parameterized enumeration, transversals, and imperfect phylogeny reconstruction
Theoretical Computer Science - Parameterized and exact computation
Strong computational lower bounds via parameterized complexity
Journal of Computer and System Sciences
Parameterized algorithms for HITTING SET: the weighted case
CIAC'06 Proceedings of the 6th Italian conference on Algorithms and Complexity
Improved parameterized upper bounds for vertex cover
MFCS'06 Proceedings of the 31st international conference on Mathematical Foundations of Computer Science
On the effective enumerability of NP problems
IWPEC'06 Proceedings of the Second international conference on Parameterized and Exact Computation
Some fixed-parameter tractable classes of hypergraph duality and related problems
IWPEC'08 Proceedings of the 3rd international conference on Parameterized and exact computation
On the hardness of approximating stopping and trapping sets
IEEE Transactions on Information Theory
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We study how many vertices in a rank-r hypergraph can belong to the union of all inclusion-minimal hitting sets of at most k vertices. This union is interesting in certain combinatorial inference problems with hitting sets as hypotheses, as it provides a problem kernel for likelihood computations (which are essentially counting problems) and contains the most likely elements of hypotheses. We give worst-case bounds on the size of the union, depending on parameters r, k and the size k* of a minimum hitting set. (Note that k ≥ k* is allowed.) Our result for r = 2 is tight. The exact worst-case size for any r ≥ 3 remains widely open. By several hypergraph decompositions we achieve nontrivial bounds with potential for further improvements.