Why Deep Learning Is More Efficient than Support Vector Machines, and How it is Related to Sparsity Techniques in Signal Processing

Laxman Bokati, Olga Kosheleva, Vladik Kreinovich, Uram Anibal Sosa Aguirre. Why Deep Learning Is More Efficient than Support Vector Machines, and How it is Related to Sparsity Techniques in Signal Processing. In Suash Deb, editor, ISMSI '20: 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, ISMSI 2020, Thimphu, Bhutan, March 21-22, 2020. pages 8-12, ACM, 2020. [doi]

@inproceedings{BokatiKKA20,
  title = {Why Deep Learning Is More Efficient than Support Vector Machines, and How it is Related to Sparsity Techniques in Signal Processing},
  author = {Laxman Bokati and Olga Kosheleva and Vladik Kreinovich and Uram Anibal Sosa Aguirre},
  year = {2020},
  doi = {10.1145/3396474.3396478},
  url = {https://doi.org/10.1145/3396474.3396478},
  researchr = {https://researchr.org/publication/BokatiKKA20},
  cites = {0},
  citedby = {0},
  pages = {8-12},
  booktitle = {ISMSI '20: 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, ISMSI 2020, Thimphu, Bhutan, March 21-22, 2020},
  editor = {Suash Deb},
  publisher = {ACM},
  isbn = {978-1-4503-7761-4},
}