Exact and approximate aggregation in constraint query languages
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
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Motivated by recent development in VC-dimension of neural networks and corresponding semi-Pfaffian sets, we introduce a new method of approximating volumes and integrals for a vast class of geometric and number theoretical problems.