Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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36 results for Frederick R. Reiss

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
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
Giving Text Analytics a Boost
- - Raphael Polig
  - Kubilay Atasu
  - et al.
- 2014
- IEEE Micro
SystemT: A system for declarative information extraction
- - Rajasekar Krishnamurthy
  - Yunyao Li
  - et al.
- 2009
- SIGMOD Record