A comparison of platforms for implementing and running very large scale machine learning algorithms-Reference-Cited by-同舟云学术

A comparison of platforms for implementing and running very large scale machine learning algorithms

Published:2014-06-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data
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Author:

Cai Zhuhua¹,Gao Zekai J.¹,Luo Shangyu¹,Perez Luis L.¹,Vagena Zografoula²,Jermaine Christopher¹

Affiliation:

1. Rice University, Houston, TX, USA

2. LogicBlox, Inc., Atlanta, GA, USA

Funder

National Science Foundation

U.S. Department of Energy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2588555.2593680

Reference24 articles.

1. A. Agarwal O. Chapelle M. Dudık and J. Langford. A reliable effective terascale linear learning system. arXiv preprint arXiv:1110.4198 2011. A. Agarwal O. Chapelle M. Dudık and J. Langford. A reliable effective terascale linear learning system. arXiv preprint arXiv:1110.4198 2011.

2. Probabilistic topic models

3. Simulation of database-valued markov chains using SimSQL

4. Ricardo

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