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On the Hardness of Domain Adaptation and the Utility of Unlabeled Target Samples

2012

Conference Paper

ei


Author(s): Ben-David, S. and Urner, R.
Book Title: Algorithmic Learning Theory - 23rd International Conference
Volume: 7568
Pages: 139--153
Year: 2012

Series: Lecture Notes in Computer Science
Editors: Bshouty, NH. and Stoltz, G and Vayatis, N and Zeugmann, T
Publisher: Springer Berlin Heidelberg

Department(s): Empirical Inference
Bibtex Type: Conference Paper (inproceedings)

DOI: 10.1007/978-3-642-34106-9_14
Event Name: ALT 2012
Event Place: Lyon, France

Cross Ref: DBLP:conf/alt/2012
State: Published
URL: http://dx.doi.org/10.1007/978-3-642-34106-9_14

BibTex

@inproceedings{Ben-DavidU12,
  title = {On the Hardness of Domain Adaptation and the Utility of Unlabeled Target Samples},
  author = {Ben{-}David, S. and Urner, R.},
  booktitle = {Algorithmic Learning Theory - 23rd International Conference},
  volume = {7568},
  pages = {139--153},
  series = {Lecture Notes in Computer Science},
  editors = {Bshouty, NH. and Stoltz, G and Vayatis, N and Zeugmann, T},
  publisher = {Springer Berlin Heidelberg},
  year = {2012},
  crossref = {DBLP:conf/alt/2012},
  url = {http://dx.doi.org/10.1007/978-3-642-34106-9_14}
}