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Large-scale distance metric learning for k-nearest neighbors regression

(2016) NEUROCOMPUTING. 214. p.805-814
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COORDINATE DESCENT METHOD, CLASSIFICATION, OPTIMIZATION, MINIMIZATION, Nearest neighbor, Distance metric learning, Regression, Quadratic, programming

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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. 2016. “Large-scale Distance Metric Learning for K-nearest Neighbors Regression.” Neurocomputing 214: 805–814.
APA
Nguyen Cong, B., Morell, C., & De Baets, B. (2016). Large-scale distance metric learning for k-nearest neighbors regression. NEUROCOMPUTING, 214, 805–814.
Vancouver
1.
Nguyen Cong B, Morell C, De Baets B. Large-scale distance metric learning for k-nearest neighbors regression. NEUROCOMPUTING. 2016;214:805–14.
MLA
Nguyen Cong, Bac, Carlos Morell, and Bernard De Baets. “Large-scale Distance Metric Learning for K-nearest Neighbors Regression.” NEUROCOMPUTING 214 (2016): 805–814. Print.
@article{8510207,
  author       = {Nguyen Cong, Bac and Morell, Carlos and De Baets, Bernard},
  issn         = {0925-2312},
  journal      = {NEUROCOMPUTING},
  language     = {eng},
  pages        = {805--814},
  title        = {Large-scale distance metric learning for k-nearest neighbors regression},
  url          = {http://dx.doi.org/10.1016/j.neucom.2016.07.005},
  volume       = {214},
  year         = {2016},
}

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