@article{2437,
  title = {Tractable Inference for Probabilistic Data Models},
  journal = {Complexity},
  abstract = {We present an approximation technique for probabilistic data models with a large number of hidden variables, based on ideas from statistical physics. We give examples for two nontrivial applications. © 2003 Wiley Periodicals, Inc.},
  volume = {8},
  number = {4},
  pages = {64-68},
  organization = {Max-Planck-Gesellschaft},
  institution = {Neural Computing Research Group, Aston University, Birmingham , UK},
  school = {Biologische Kybernetik},
  month = apr,
  year = {2003},
  author = {Csato, L. and Opper, M. and Winther, O.},
  month_numeric = {4}
}