PBSVM: Partitioning and biased support vector machine for vocal fold pathology assessment using labeled and unlabeled data sets

Tahereh Emami Azadi, Farshad Almasganj. PBSVM: Partitioning and biased support vector machine for vocal fold pathology assessment using labeled and unlabeled data sets. Expert Syst. Appl., 38(1):610-619, 2011. [doi]

@article{AzadiA11,
  title = {PBSVM: Partitioning and biased support vector machine for vocal fold pathology assessment using labeled and unlabeled data sets},
  author = {Tahereh Emami Azadi and Farshad Almasganj},
  year = {2011},
  doi = {10.1016/j.eswa.2010.07.010},
  url = {http://dx.doi.org/10.1016/j.eswa.2010.07.010},
  tags = {partitioning},
  researchr = {https://researchr.org/publication/AzadiA11},
  cites = {0},
  citedby = {0},
  journal = {Expert Syst. Appl.},
  volume = {38},
  number = {1},
  pages = {610-619},
}