default search action

combined dblp search
author search
venue search
publication search

ask others

"SystemDS: A Declarative Machine Learning System for the End-to-End Data ..."

Matthias Boehm et al. (2019)

> Home

Details and statistics

DOI: —

access: open

type: Informal or Other Publication

metadata version: 2020-02-03

- view
  - electronic edition @ arxiv.org (open access)
- export record
  dblp key:
  - journals/corr/abs-1909-02976
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1909-02976
Matthias Boehm, Iulian Antonov, Mark Dokter, Robert Ginthör, Kevin Innerebner, Florijan Klezin, Stefanie N. Lindstaedt, Arnab Phani, Benjamin Rath:
SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle. CoRR abs/1909.02976 (2019)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.