Real-Time Machine Learning-Reference-Cited by-同舟云学术

Real-Time Machine Learning

Published:2017-05-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th Workshop on Hot Topics in Operating Systems
language:
Short-container-title:

Author:

Nishihara Robert¹,Moritz Philipp¹,Wang Stephanie¹,Tumanov Alexey¹,Paul William¹,Schleier-Smith Johann¹,Liaw Richard¹,Niknami Mehrdad¹,Jordan Michael I.¹,Stoica Ion¹

Affiliation:

1. UC Berkeley

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3102980.3102998

Reference21 articles.

1. Dario Amodei Rishita Anubhai Eric Battenberg Carl Case Jared Casper Bryan Catanzaro Jingdong Chen Mike Chrzanowski Adam Coates Greg Diamos etal 2015. Deep speech 2: End-to-end speech recognition in english and mandarin. arXiv preprint arXiv:1512.02595 (2015). Dario Amodei Rishita Anubhai Eric Battenberg Carl Case Jared Casper Bryan Catanzaro Jingdong Chen Mike Chrzanowski Adam Coates Greg Diamos et al. 2015. Deep speech 2: End-to-end speech recognition in english and mandarin. arXiv preprint arXiv:1512.02595 (2015).

2. Joe Armstrong Robert Virding Claes Wikström and Mike Williams. 1993. Concurrent programming in ERLANG. (1993). Joe Armstrong Robert Virding Claes Wikström and Mike Williams. 1993. Concurrent programming in ERLANG. (1993).

3. The incremental garbage collection of processes

4. Orleans

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Lazy learning and sparsity handling in recommendation systems;Knowledge and Information Systems;2024-09-02

2. Extending the Mochi Methodology to Enable Dynamic HPC Data Services;2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2024-05-27

3. Systemization of Knowledge (SoK): Creating a Research Agenda for Human-Centered Real-Time Risk Detection on Social Media Platforms;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

4. Real-time arrhythmia detection using convolutional neural networks;Frontiers in Big Data;2023-11-20

5. AutoML in heavily constrained applications;The VLDB Journal;2023-11-17