Abstract: In recent years, deep learning-based approaches have been increasingly adopted for cardinality estimation to enhance the accuracy of query optimization. However, there are still some ...
Breaking Taps on MSNOpinion
A problem so hard even Google relies on random chance
Today we're looking at HyperLogLog, an algorithm that leverages random chance to count the number of distinct items are in a ...
Released MoGe-2, a state-of-the-art model for monocular geometry, with these new capabilities in one unified model: Note: MoGe should be compatible with most ...
As quality estimation (QE) systems become more widely used in enterprise AI translation workflows, questions about how to evaluate these systems are becoming more pressing. The Association for Machine ...
Cardinality estimation (CardEst) plays a crucial role in the optimization of query execution plans. Over the past decade, a number of methods have been proposed to address this issue, but limitations ...
Gross domestic produce rose at an annualized rate of just 1.4%, according to the Commerce Department, well below the Dow Jones estimate for a 2.5% gain. The department estimated that the government ...
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