Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization

@inproceedings{Amini2009LearningFM,
  title={Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization},
  author={Massih-Reza Amini and Nicolas Usunier and Cyril Goutte},
  booktitle={NIPS},
  year={2009}
}
We address the problem of learning classifiers when observat ions have multiple views, some of which may not be observed for all examples. We a ssume the existence of view generating functions which may complete t he missing views in an approximate way. This situation corresponds for examp le to learning text classifiers from multilingual collections where documents are not available in all languages. In that case, Machine Translation (MT) systems m ay be used to translate each document in the… CONTINUE READING
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