The Parameterized Complexity of Computing the VC-Dimension

Neural Information Processing Systems 

The VC-dimension is a well-studied and fundamental complexity measure of a set system (or hypergraph) that is central to many areas of machine learning. We establish several new results on the complexity of computing the VC-dimension.