In-database learning with sparse tensors

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 theo...

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Detaylı Bibliyografya
Asıl Yazarlar: Abo Khamis, M, Ngo, H, Nguyen, X, Olteanu, D, Schleich, M
Materyal Türü: Conference item
Baskı/Yayın Bilgisi: Association for Computing Machinery 2018