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Distance metric learning for ordinal classification based on triplet constraints

(2018) KNOWLEDGE-BASED SYSTEMS. 142. p.17-28
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Ordinal classification, Ordinal regression, Distance metric learning, Nearest neighbor, Semidefinite programming, REJECTIVE MULTIPLE TEST, NEAREST-NEIGHBOR, RELATIVE COMPARISONS, AGE ESTIMATION, REGRESSION, OPTIMIZATION, MINIMIZATION, DIVERGENCE, RANKING, TESTS

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Citation

Please use this url to cite or link to this publication:

Chicago
Nguyen Cong, Bac, Carlos Morell, and Bernard De Baets. 2018. “Distance Metric Learning for Ordinal Classification Based on Triplet Constraints.” Knowledge-based Systems 142: 17–28.
APA
Nguyen Cong, B., Morell, C., & De Baets, B. (2018). Distance metric learning for ordinal classification based on triplet constraints. KNOWLEDGE-BASED SYSTEMS, 142, 17–28.
Vancouver
1.
Nguyen Cong B, Morell C, De Baets B. Distance metric learning for ordinal classification based on triplet constraints. KNOWLEDGE-BASED SYSTEMS. 2018;142:17–28.
MLA
Nguyen Cong, Bac, Carlos Morell, and Bernard De Baets. “Distance Metric Learning for Ordinal Classification Based on Triplet Constraints.” KNOWLEDGE-BASED SYSTEMS 142 (2018): 17–28. Print.
@article{8545282,
  author       = {Nguyen Cong, Bac and Morell, Carlos and De Baets, Bernard},
  issn         = {0950-7051},
  journal      = {KNOWLEDGE-BASED SYSTEMS},
  language     = {eng},
  pages        = {17--28},
  title        = {Distance metric learning for ordinal classification based on triplet constraints},
  url          = {http://dx.doi.org/10.1016/j.knosys.2017.11.022},
  volume       = {142},
  year         = {2018},
}

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