Large-Scale Machine Learning at Verizon: Theory and Applications

Ashok Srivastava. Large-Scale Machine Learning at Verizon: Theory and Applications. In Balaji Krishnapuram, Mohak Shah, Alexander J. Smola, Charu Aggarwal, Dou Shen, Rajeev Rastogi, editors, Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016. pages 417, ACM, 2016. [doi]

@inproceedings{Srivastava16-2,
  title = {Large-Scale Machine Learning at Verizon: Theory and Applications},
  author = {Ashok Srivastava},
  year = {2016},
  doi = {10.1145/2939672.2945361},
  url = {http://doi.acm.org/10.1145/2939672.2945361},
  researchr = {https://researchr.org/publication/Srivastava16-2},
  cites = {0},
  citedby = {0},
  pages = {417},
  booktitle = {Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016},
  editor = {Balaji Krishnapuram and Mohak Shah and Alexander J. Smola and Charu Aggarwal and Dou Shen and Rajeev Rastogi},
  publisher = {ACM},
  isbn = {978-1-4503-4232-2},
}