Compressed linear algebra for declarative large-scale machine learning
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2019
- CACM
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36 results for Frederick R. Reiss
SystemT: Declarative text understanding for enterprise
- Laura Chiticariu
- Marina Danilevsky
- et al.
- 2018
- NAACL 2018
A hardware compilation framework for text analytics queries
- Raphael Polig
- Kubilay Atasu
- et al.
- 2018
- JPDC
Compressed linear algebra for large-scale machine learning
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2017
- VLDB Journal
Scaling machine learning via compressed linear algebra
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2017
- SIGMOD Record
Compressed linear algebra for largescale machine learning
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2016
- VLDB 2016
Declarative cleaning of inconsistencies in information extraction
- Ronald Fagin
- Benny Kimelfeld
- et al.
- 2016
- ACM TODS
A relational framework for information extraction
- Ronald Fagin
- Benny Kimelfeld
- et al.
- 2015
- SIGMOD Record
Resource elasticity for large-scale machine learning
- Botong Huang
- Matthias Boehm
- et al.
- 2015
- SIGMOD 2015
Document spanners: A formal approach to information extraction
- Ronald Fagin
- Benny Kimelfeld
- et al.
- 2015
- Journal of the ACM