1 code implementation • 11 Jul 2022 • Al-Harith Farhad, Ioannis Sorokos, Andreas Schmidt, Mohammed Naveed Akram, Koorosh Aslansefat, Daniel Schneider
Limitations in setting SafeML up properly include the lack of a systematic approach for determining, for a given application, how many operational samples are needed to yield reliable distance information as well as to determine an appropriate distance threshold.
no code implementations • 8 Mar 2022 • Benjamin Hättasch, Michael Truong-Ngoc, Andreas Schmidt, Carsten Binnig
Since data is often stored in different sources, it needs to be integrated to gather a global view that is required in order to create value and derive knowledge from it.
1 code implementation • 2 Sep 2019 • Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Alejandro Molina, Kristian Kersting, Carsten Binnig
The typical approach for learned DBMS components is to capture the behavior by running a representative set of queries and use the observations to train a machine learning model.
Databases