@inproceedings{2563,
  title = {Active Learning for Parzen Window Classifier},
  journal = {AI STATS},
  booktitle = {AISTATS 2005},
  abstract = {The problem of active learning is approached in this paper by minimizing
  directly an estimate of the expected test error. The main difficulty
  in this ``optimal'' strategy is that output probabilities need to be 
  estimated accurately. We suggest here different methods
  for estimating those efficiently.
  In this context, the Parzen window classifier is considered
  because it is both simple and probabilistic. The analysis of experimental
  results highlights that regularization is a key ingredient for this strategy.},
  pages = {49-56},
  editors = {Cowell, R. , Z. Ghahramani},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  month = jan,
  year = {2005},
  slug = {2563},
  author = {Chapelle, O.},
  month_numeric = {1}
}