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
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}}
}
% Updated
Downloads: 0
{"_id":"k7rxDjvm4EWFXbvZj","bibbaseid":"brown-tsamardinos-hardin-tofeaturespaceandbackidentifyingtopweightedfeaturesinpolynomialsupportvectormachinemodels-2012","authorIDs":["yvnucheiemENdc9rZ"],"author_short":["Brown, L. E.","Tsamardinos, I.","Hardin, D. P."],"bibdata":{"bibtype":"article","type":"Journal Article","title":"To feature space and back: Identifying top-weighted features in polynomial Support Vector Machine models","author":[{"firstnames":["Laura","E."],"propositions":[],"lastnames":["Brown"],"suffixes":[]},{"firstnames":["Ioannis"],"propositions":[],"lastnames":["Tsamardinos"],"suffixes":[]},{"firstnames":["Douglas","P."],"propositions":[],"lastnames":["Hardin"],"suffixes":[]}],"author_short":["Brown, L. E.","Tsamardinos, I.","Hardin, D. P."],"year":"2012","issue_date":"July 2012","journal":"Intell. Data Anal. (IDA)","pages":"551-579","numpages":"29","number":"4","volume":"16","month":"July","publisher":"IOS Press","address":"Amsterdam, The Netherlands, The Netherlands","text":"Intell. Data Anal. (IDA) 16(4):551-579 (2012)","key":"Brown.etal.IDA.2012","id":"Brown.etal.IDA.2012","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","bibtex":"@article{Brown.etal.IDA.2012,\n title = {To feature space and back: Identifying top-weighted features in polynomial Support Vector Machine models},\n author = {Laura E. Brown and Ioannis Tsamardinos and Douglas P. Hardin},\n author_short = {Brown, L. E. and Tsamardinos, I. and Hardin, D. P.},\n bibtype = {article},\n type = {{Journal Article}},\n year = {2012},\n issue_date = {July 2012},\n journal = {Intell. Data Anal. (IDA)},\n pages = {551-579},\n numpages = {29},\n number = {4},\n volume = {16},\n month = jul,\n publisher = {IOS Press},\n address = {Amsterdam, The Netherlands, The Netherlands},\n text = {Intell. Data Anal. (IDA) 16(4):551-579 (2012)},\n key = {dblp2229733},\n id = {dblp2229733},\n issn = {1088-467X},\n doi = {10.3233/IDA-2012-0539},\n acmid = {2595516},\n biburl = {http://www.dblp.org/rec/bibtex/journals/ida/BrownTH12},\n url = {http://content.iospress.com/articles/intelligent-data-analysis/ida00539},\n bibbase_note = {Links to <a href=\"http://www.cs.mtu.edu/~lebrown/IDA2011/\">Supplemental Appendix</a>},\n keywords = {{Feature Selection}}\n}\n\n% Updated\n","bibbaseid":"brown-tsamardinos-hardin-tofeaturespaceandbackidentifyingtopweightedfeaturesinpolynomialsupportvectormachinemodels-2012","role":"author","urls":{"Paper":"http://content.iospress.com/articles/intelligent-data-analysis/ida00539"},"keyword":["Feature Selection"],"metadata":{"authorlinks":{"brown, l":"https://pages.mtu.edu/~lebrown/publications.html"}},"downloads":0,"html":""},"bibtype":"article","biburl":"https://www.cs.mtu.edu/~lebrown/pubs-all-05-22-2024.bib","creationDate":"2021-03-05T17:49:10.131Z","downloads":0,"keywords":["feature selection"],"search_terms":["feature","space","back","identifying","top","weighted","features","polynomial","support","vector","machine","models","brown","tsamardinos","hardin"],"title":"To feature space and back: Identifying top-weighted features in polynomial Support Vector Machine models","year":2012,"dataSources":["kFQCzXyALdkRveujm","K6oWYunrvbYwsBYQy","X7QctHBBxsY6Zrhpw","Ptd3bYan4v75igZKp"]}