Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach

Wenye Li. Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach. In Corinna Cortes, Neil D. Lawrence, Daniel D. Lee, Masashi Sugiyama, Roman Garnett, editors, Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada. pages 2620-2628, 2015. [doi]

@inproceedings{Li15-101,
  title = {Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach},
  author = {Wenye Li},
  year = {2015},
  url = {http://papers.nips.cc/paper/5983-estimating-jaccard-index-with-missing-observations-a-matrix-calibration-approach},
  researchr = {https://researchr.org/publication/Li15-101},
  cites = {0},
  citedby = {0},
  pages = {2620-2628},
  booktitle = {Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada},
  editor = {Corinna Cortes and Neil D. Lawrence and Daniel D. Lee and Masashi Sugiyama and Roman Garnett},
}