Exploring the capabilities of support vector machines in detecting silent data corruptions.

MLA

Subasi, Omer, et al. “Exploring the Capabilities of Support Vector Machines in Detecting Silent Data Corruptions.” Sustainable Computing: Informatics & Systems, vol. 19, Sept. 2018, pp. 277–90. EBSCOhost, https://doi.org/10.1016/j.suscom.2018.01.004.

APA

Subasi, O., Di, S., Bautista-Gomez, L., Balaprakash, P., Unsal, O., Labarta, J., Cristal, A., Krishnamoorthy, S., & Cappello, F. (2018). Exploring the capabilities of support vector machines in detecting silent data corruptions. Sustainable Computing: Informatics & Systems, 19, 277–290. https://doi.org/10.1016/j.suscom.2018.01.004

Chicago

Subasi, Omer, Sheng Di, Leonardo Bautista-Gomez, Prasanna Balaprakash, Osman Unsal, Jesus Labarta, Adrian Cristal, Sriram Krishnamoorthy, and Franck Cappello. 2018. “Exploring the Capabilities of Support Vector Machines in Detecting Silent Data Corruptions.” Sustainable Computing: Informatics & Systems 19 (September): 277–90. doi:10.1016/j.suscom.2018.01.004.