@InProceedings{pearson_et_al:LIPIcs.AofA.2020.23,
  author =	{Pearson, Antony and Lladser, Manuel E.},
  title =	{{Hidden Independence in Unstructured Probabilistic Models}},
  booktitle =	{31st International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2020)},
  pages =	{23:1--23:13},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-147-4},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{159},
  editor =	{Drmota, Michael and Heuberger, Clemens},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.AofA.2020.23},
  URN =		{urn:nbn:de:0030-drops-120538},
  doi =		{10.4230/LIPIcs.AofA.2020.23},
  annote =	{Keywords: Bayesian networks, contamination, latent weights, mixture models, independence, symbolic data}
}