Cite
Semisupervised Multiclass Classification Problems With Scarcity of Labeled Data: A Theoretical Study.
MLA
Ortigosa-Hernandez, Jonathan, et al. “Semisupervised Multiclass Classification Problems With Scarcity of Labeled Data: A Theoretical Study.” IEEE Transactions on Neural Networks & Learning Systems, vol. 27, no. 12, Dec. 2016, pp. 2602–14. EBSCOhost, https://doi.org/10.1109/TNNLS.2015.2498525.
APA
Ortigosa-Hernandez, J., Inza, I., & Lozano, J. A. (2016). Semisupervised Multiclass Classification Problems With Scarcity of Labeled Data: A Theoretical Study. IEEE Transactions on Neural Networks & Learning Systems, 27(12), 2602–2614. https://doi.org/10.1109/TNNLS.2015.2498525
Chicago
Ortigosa-Hernandez, Jonathan, Inaki Inza, and Jose A. Lozano. 2016. “Semisupervised Multiclass Classification Problems With Scarcity of Labeled Data: A Theoretical Study.” IEEE Transactions on Neural Networks & Learning Systems 27 (12): 2602–14. doi:10.1109/TNNLS.2015.2498525.