In-Database Learning with Sparse Tensors
SIGMOD/PODS '18: International Conference on Management of Data Houston TX USA June, 2018, pp. 325-340, 2018.
In-database analytics is of great practical importance as it avoids the costly repeated loop data scientists have to deal with on a daily basis: select features, export the data, convert data format, train models using an external tool, reimport the parameters. It is also a fertile ground of theoretically fundamental and challenging probl...More
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