% MIM (Mutual Information Maximisation)
@inproceedings{MIM,
    author = {David D. Lewis},
    title = {Feature Selection and Feature Extraction for Text Categorization},
    booktitle = {In Proceedings of Speech and Natural Language Workshop},
    year = {1992},
    pages = {212--217},
    publisher = {Morgan Kaufmann}
}

% MIFS (Mutual Information Feature Selection )
@article{MIFS,
    author={Battiti, R.},
    journal={Neural Networks, IEEE Transactions on},
    title={Using mutual information for selecting features in supervised neural net learning},
    year={1994},
    month={jul},
    volume={5},
    number={4},
    pages={537 -550},
    ISSN={1045-9227}
}

% mRMR (minimum Redundancy Maximum Relevance)
@article{mRMR,
  title={Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy},
  author={Peng, H. and Long, F. and Ding, C.},
  journal={IEEE Transactions on pattern analysis and machine intelligence},
  pages={1226--1238},
  year={2005},
  publisher={Published by the IEEE Computer Society}
}

% CMIM (Conditional Mutual Information Maximisation)
@article{CMIM,
 author = {Fleuret, Fran\c{c}ois},
 title = {Fast Binary Feature Selection with Conditional Mutual Information},
 journal = {Journal of Machine Learning Research},
 volume = {5},
 month = {December},
 year = {2004},
 issn = {1532-4435},
 pages = {1531--1555},
 publisher = {JMLR.org}
}

% JMI (Joint Mutual Information)
@inproceedings{JMI,
  title={Feature selection based on joint mutual information},
  author={Yang, H. and Moody, J.},
  booktitle={Proceedings of International ICSC Symposium on Advances in Intelligent Data Analysis},
  pages={22--25},
  year={1999}
}

% DISR (Double Input Symmetrical Relevance)
@incollection{DISR,
   author = {Meyer, Patrick and Bontempi, Gianluca},
   title = {On the Use of Variable Complementarity for Feature Selection in Cancer Classification},
   booktitle = {Applications of Evolutionary Computing},
   publisher = {Springer Berlin / Heidelberg},
   pages = {91-102},
   volume = {3907},
   url = {http://dx.doi.org/10.1007/11732242_9},
   year = {2006}
}

% ICAP (Interaction Capping)
@article{ICAP,
  title={Machine learning based on attribute interactions},
  author={Jakulin, A.},
  journal={Fakulteta za racunalni{\v{s}}tvo in informatiko, Univerza v Ljubljani},
  year={2005}
}

% CIFE (Conditional Informative Feature Extraction)
@incollection{CIFE
   author = {Lin, Dahua and Tang, Xiaoou},
   title = {Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion},
   booktitle = {Computer Vision – ECCV 2006},
   series = {Lecture Notes in Computer Science},
   publisher = {Springer Berlin / Heidelberg},
   pages = {68-82},
   volume = {3951},
   url = {http://dx.doi.org/10.1007/11744023_6},
   year = {2006}
}

% Beta Gamma Space
@inproceedings{BetaGamma,
  title={A new perspective for information theoretic feature selection},
  author={Brown, G.},
  booktitle={12th International Conference on Artificial Intelligence and Statistics},
  volume={5},
  pages={49--56},
  year={2009}
}

% FCBF (Fast Correlation-Based Filter)
@article{FCBF,
 author = {Yu, Lei and Liu, Huan},
 title = {Efficient Feature Selection via Analysis of Relevance and Redundancy},
 journal = {Journal of Machine Learning Research},
 volume = {5},
 year = {2004},
 issn = {1532-4435},
 pages = {1205--1224},
 publisher = {JMLR.org}
}

% RELIEF
@inproceedings{RELIEF,
 author = {Kira, Kenji and Rendell, Larry A.},
 title = {The feature selection problem: traditional methods and a new algorithm},
 booktitle = {Proceedings of the tenth national conference on Artificial intelligence},
 series = {AAAI'92},
 year = {1992},
 pages = {129--134},
 publisher = {AAAI Press}
}