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(9)   

• On Prediction of Epileptic Seizures by Means of Genetic Programming Artificial Features
  Hiram Firpi and Erik Goodman and Javier Echauz Annals of Biomedical Engineering34(3):515--529March2006.
  to reconstruction prediction, feature, genetic extraction, Epilepsy, Artificial programming, Seizure State-space Feature algorithms, by brazovayeye on Jun 19, 2008, 5:35 PM
  BibTeX 
• Learning from little: comparison of classifiers given little training
  George Forman and Ira Cohen PKDD '04: Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, page161--172. New York, NY, USA, Springer-Verlag New York, Inc., (2004)
  to ml, selection, survey feature, by pprett and 1 other person on Jun 17, 2008, 4:01 PM
  URL | BibTeX 
• An Extensive Empirical Study of Feature Selection Metrics for Text Classification
  George Forman Journal of Machine Learning ResearchMarch2003.
  to empirical, bns, feature, selection, text classification, by pprett and 1 other person on Jun 17, 2008, 4:01 PM
  URL | BibTeX 
• An introduction to variable and feature selection
  Isabelle Guyon and Andre Elisseeff J. Mach. Learn. Res.(2003)
  to reduction, machine, learning, dimensionality, feature, selection by pprett and 2 other people on Jun 17, 2008, 4:01 PM
  URL | BibTeX 
• Distributional Word Clusters vs Words for Text Categorization
  R. Bekkerman and El R. Yaniv and N. Tishby and Y. Winter (2003)
  to text feature, ml, selection, mining, by pprett on Jun 17, 2008, 4:01 PM
  URL | BibTeX 
• Distribution of Mutual Information from Complete and Incomplete Data
  Marcus Hutter and Marco Zaffalon Computational Statistics \& Data Analysis48(3):633--657(2005)
  to cross, variance order, bayes, bayesian, information, of, selection, statistics, distribution, classifier, second, expectation, and, mutual, naive, juergen, dirichlet, feature, filters, entropy, by idsia and 3 other people on Mar 11, 2008, 2:52 PM
  URL | BibTeX 
• Robust Feature Selection by Mutual Information Distributions
  Marco Zaffalon and Marcus Hutter Proc. 18th International Conf. on Uncertainty in Artificial Intelligence (UAI-2002), page577--584. Morgan Kaufmann, San Francisco, CA, (2002)
  to approach, classifier, juergen, second, bayes, naive, feature, selection, order, variance information, intervals, distribution, mutual, expectation, missing, of, statistics, robust, data, bayesian, credible, dirichlet, and, filter, entropy, cross, by idsia and 3 other people on Mar 11, 2008, 2:52 PM
  URL | BibTeX 
• Distribution of Mutual Information from Complete and Incomplete Data
  Marcus Hutter and Marco Zaffalon Computational Statistics \& Data Analysis48(3):633--657(2005)
  to bayes, feature, filters, distribution, second, order, entropy, dirichlet, expectation, statistics, and, mutual, naive, cross, information, juergen, selection, of, classifier, variance bayesian, by schaul and 3 other people on Feb 26, 2008, 11:58 AM
  URL | BibTeX 
• Robust Feature Selection by Mutual Information Distributions
  Marco Zaffalon and Marcus Hutter Proc. 18th International Conf. on Uncertainty in Artificial Intelligence (UAI-2002), page577--584. Morgan Kaufmann, San Francisco, CA, (2002)
  to second, variance entropy, information, expectation, classifier, dirichlet, and, of, missing, statistics, data, credible, filter, distribution, bayes, bayesian, naive, approach, selection, feature, juergen, intervals, robust, cross, order, mutual, by schaul and 3 other people on Feb 26, 2008, 11:58 AM
  URL | BibTeX