Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers. Yamada, M., Sugiyama, M., Wichern, G., & Simm, J. IEICE Trans. Inf. Syst., 93-D(10):2846–2849, 2010.
Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers [link]Paper  doi  bibtex   
@article{DBLP:journals/ieicet/YamadaSWS10,
  author    = {Makoto Yamada and
               Masashi Sugiyama and
               Gordon Wichern and
               Jaak Simm},
  title     = {Direct Importance Estimation with a Mixture of Probabilistic Principal
               Component Analyzers},
  journal   = {{IEICE} Trans. Inf. Syst.},
  volume    = {93-D},
  number    = {10},
  pages     = {2846--2849},
  year      = {2010},
  url       = {https://doi.org/10.1587/transinf.E93.D.2846},
  doi       = {10.1587/transinf.E93.D.2846},
  timestamp = {Sat, 11 Apr 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/ieicet/YamadaSWS10.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Downloads: 0