From: markmaloof@mail.com   
      
   David O wrote in message news:<40ecd3fb$1@news.   
   nimelb.edu.au>...   
      
   > Can you give the title of the ... papers you're referring to?   
      
   Be happy to.   
      
   @inproceedings{littlestone.colt.91,   
    author = "Littlestone, N.",   
    title = "Redundant noisy attributes, attribute errors, and   
    linear-threshold learning using {W}innow",   
    booktitle = "{Proceedings of the Fourth Annual Workshop on   
    Computational Learning Theory}",   
    pages = "147--156",   
    year = 1991,   
    publisher = "Morgan Kaufmann",   
    address = "San Francisco, CA",   
    annote = {   
    Winnow   
    }}   
      
   @article{littlestone.ic.94,   
    author = "Littlestone, N. and Warmuth, M.K.",   
    title = "The {W}eighted {M}ajority Algorithm",   
    pages = "212--261",   
    journal = "Information and Computation",   
    volume = 108,   
    year = 1994,   
    annote = {   
    }}   
      
   @article{littlestone.ml.88,   
    author = "Littlestone, N.",   
    title = "Learning quickly when irrelevant attributes abound:   
    A new linear-threshold algorithm",   
    pages = "285--318",   
    journal = "Machine Learning",   
    volume = 2,   
    year = 1988,   
    annote = {   
    Winnow   
    }}   
      
   @article{blum.ml.97,   
    author = "Blum, A.",   
    title = "Empirical support for {W}innow and {W}eighted-{M}ajority   
    algorithms: Results on a calendar scheduling domain",   
    year = 1997,   
    journal = "Machine Learning",   
    volume = 26,   
    pages = "5--23",   
    annote = {   
    }}   
      
   @inproceedings{kolter.icdm.03,   
    author = "Kolter, J.Z. and Maloof, M.A.",   
    title = "Dynamic Weighted Majority: A new ensemble method for tracking   
    concept drift",   
    booktitle = "{Proceedings of the Third IEEE International Conference   
    on Data Mining}",   
    year = 2003,   
    pages = "123--130",   
    publisher = "IEEE Press",   
    address = "Los Alamitos, CA",   
    annote = {   
    }}   
      
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