An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments. Thuong, N. C., Tran, T., Gopakumar, S., Phung, D. Q., & Venkatesh, S. CoRR, 2016.
An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments. [link]Link  An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments. [link]Paper  bibtex   
@article{journals/corr/NguyenTGPV16,
  added-at = {2018-01-04T00:00:00.000+0100},
  author = {Thuong, Nguyen Cong and Tran, Truyen and Gopakumar, Shivapratap and Phung, Dinh Q. and Venkatesh, Svetha},
  biburl = {http://www.bibsonomy.org/bibtex/214a301a879cf12954462b388666961e4/dblp},
  ee = {http://arxiv.org/abs/1605.01116},
  interhash = {e595270af51f2626e7c8cbaa492b5659},
  intrahash = {14a301a879cf12954462b388666961e4},
  journal = {CoRR},
  keywords = {dblp},
  timestamp = {2018-01-05T11:34:23.000+0100},
  title = {An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments.},
  url = {http://dblp.uni-trier.de/db/journals/corr/corr1605.html#NguyenTGPV16},
  volume = {abs/1605.01116},
  year = 2016
}

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