An all-pair quantum SVM approach for big data multiclass classification

Arit Kumar Bishwas, Ashish Mani, Vasile Palade

Open source

DOI: 10.1007/s11128-018-2046-z
Published: 2018-09-08
Container: Quantum Information Processing
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s11128-018-2046-z,
  title = {An all-pair quantum SVM approach for big data multiclass classification},
  author = {Arit Kumar Bishwas and Ashish Mani and Vasile Palade},
  year = {2018},
  journal = {Quantum Information Processing},
  doi = {10.1007/s11128-018-2046-z},
  url = {https://doi.org/10.1007/s11128-018-2046-z}
}

RIS

TY  - JOUR
TI  - An all-pair quantum SVM approach for big data multiclass classification
AU  - Arit Kumar Bishwas
AU  - Ashish Mani
AU  - Vasile Palade
PY  - 2018
JO  - Quantum Information Processing
DO  - 10.1007/s11128-018-2046-z
UR  - https://doi.org/10.1007/s11128-018-2046-z
ER  -

APA

Bishwas, A. K., Mani, A., & Palade, V. (2018). An all-pair quantum SVM approach for big data multiclass classification. Quantum Information Processing. https://doi.org/10.1007/s11128-018-2046-z

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crossref · retrieved 2026-09-25T21:46:33.954Z