To feature space and back: Identifying top-weighted features in polynomial Support Vector Machine models. Brown, L. E., Tsamardinos, I., & Hardin, D. P. Intell. Data Anal. (IDA), 16(4):551-579, IOS Press, Amsterdam, The Netherlands, The Netherlands, July, 2012. Links to Supplemental Appendix
To feature space and back: Identifying top-weighted features in polynomial Support Vector Machine models [link]Paper  doi  bibtex   
@article{Brown.etal.IDA.2012,
  title = {To feature space and back: Identifying top-weighted features in polynomial Support Vector Machine models},
  author = {Laura E. Brown and Ioannis Tsamardinos and Douglas P. Hardin},
  author_short = {Brown, L. E. and Tsamardinos, I. and Hardin, D. P.},
  bibtype = {article},
  type = {{Journal Article}},
  year = {2012},
  issue_date = {July 2012},
  journal = {Intell. Data Anal. (IDA)},
  pages = {551-579},
  numpages = {29},
  number = {4},
  volume = {16},
  month = jul,
  publisher = {IOS Press},
  address = {Amsterdam, The Netherlands, The Netherlands},
  text = {Intell. Data Anal. (IDA) 16(4):551-579 (2012)},
  key = {dblp2229733},
  id = {dblp2229733},
  issn = {1088-467X},
  doi = {10.3233/IDA-2012-0539},
  acmid = {2595516},
  biburl = {http://www.dblp.org/rec/bibtex/journals/ida/BrownTH12},
  url = {http://content.iospress.com/articles/intelligent-data-analysis/ida00539},
  bibbase_note = {Links to <a href="http://www.cs.mtu.edu/~lebrown/IDA2011/">Supplemental Appendix</a>},
  keywords = {{Feature Selection}}
}

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