Efficient data-parallel cumulative aggregates for large-scale machine learning
- Matthias Boehm
- Alexandre V. Evfimievski
- et al.
- 2019
- BTW/DBIS 2019
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48 results for Berthold Reinwald
SPOOF: Sum-product optimization and operator fusion for large-scale machine learning
- Tarek Elgamal
- Shangyu Luo
- et al.
- 2017
- CIDR 2017
Resource elasticity for large-scale machine learning
- Botong Huang
- Matthias Boehm
- et al.
- 2015
- SIGMOD 2015
Efficient sample generation for scalable meta learning
- Sebastian Schelter
- Juan Soto
- et al.
- 2015
- ICDE 2015
On optimizing machine learning workloads via kernel fusion
- Arash Ashari
- Shirish Tatikonda
- et al.
- 2015
- PPoPP 2015
Large scale discriminative metric learning
- Peter D. Kirchner
- Matthias Boehm
- et al.
- 2014
- IPDPSW 2014
Scalable and numerically stable descriptive statistics in SystemML
- Yuanyuan Tian
- Shirish Tatikonda
- et al.
- 2012
- ICDE 2012
CRSI: A compact randomized similarity index for set-valued features
- Petros Venetis
- Yannis Sismanis
- et al.
- 2012
- EDBT 2012
SystemML: Declarative machine learning on MapReduce
- Amol Ghoting
- Rajasekar Krishnamurthy
- et al.
- 2011
- ICDE 2011
Resolution-Aware query answering for business intelligence
- Yannis Sismanis
- Ling Wang
- et al.
- 2009
- ICDE 2009