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  4. Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment.
 
conference paper

Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment.

Uzdilli, Fatih
•
Jaggi, Martin
•
Egger, Dominic
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2015
Proceedings of the 9th International Workshop on Semantic Evaluation
SemEval@NAACL-HLT 2015
  • Details
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Type
conference paper
Author(s)
Uzdilli, Fatih
Jaggi, Martin
Egger, Dominic
Julmy, Pascal
Derczynski, Leon
Cieliebak, Mark
Date Issued

2015

Published in
Proceedings of the 9th International Workshop on Semantic Evaluation
Start page

608

End page

612

URL

URL

http://aclweb.org/anthology/S/S15/S15-2101.pdf
Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
MLO  
Event nameEvent placeEvent date
SemEval@NAACL-HLT 2015

Denver, Colorado, USA

June 4-5, 2015

Available on Infoscience
June 21, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/138539
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