Challenges in Using ML for Networking Research-Reference-Cited by-同舟云学术

Challenges in Using ML for Networking Research

Published:2020-08-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Workshop on Network Meets AI & ML
language:
Short-container-title:

Author:

Lavinia Yukhe¹,Durairajan Ramakrishnan¹,Rejaie Reza¹,Willinger Walter²

Affiliation:

1. University of Oregon

2. NIKSUN, Inc.

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3405671.3405812

Reference51 articles.

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2. Argoverse. https://www.argoverse.org/. Argoverse. https://www.argoverse.org/.

3. CAIDA Ark Datasets. http://www.caida.org/projects/ark/topo_datasets.xml. CAIDA Ark Datasets. http://www.caida.org/projects/ark/topo_datasets.xml.

4. CRAWDAD Datasets. https://crawdad.org/. CRAWDAD Datasets. https://crawdad.org/.

5. If data is the new oil these companies are the new baker hughes. https://fortune.com/2020/02/04/artificial- intelligence- data- labeling- labelbox/. If data is the new oil these companies are the new baker hughes. https://fortune.com/2020/02/04/artificial- intelligence- data- labeling- labelbox/.

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