@InProceedings{RJuar:2001:OnLeSu,
               author = "R., Barandela. and Juarez, M.",
                title = "Ongoing learning for supervised pattern recognition",
            booktitle = "Proceedings...",
                 year = "2001",
               editor = "Borges, Leandro D{\'{\i}}bio and Wu, Shin-Ting",
                pages = "51--58",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 14. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Florian{\'o}polis, SC, Brazil, from 
                         October 15 to 18.",
             keywords = "anytime supervised learning, training sample correction, reject 
                         option, nearest neighbor rule.",
             abstract = "This paper presents a procedure to implement an automatic system 
                         for supervised pattern recognition with an ongoing learning 
                         capability. The purpose is to continuously increase the knowledge 
                         of the system and, accordingly, to enhance its performance in 
                         classification tasks.The Nearest Neighbor rule is employed as the 
                         central classifier and several techniques are added to cope with 
                         the increase in computational load and with the peril of 
                         incorporating noisy data to the training sample. Experimental 
                         results confirm the improvement in classification accuracy.",
  conference-location = "Florian{\'o}polis, SC, Brazil",
      conference-year = "15-18 Oct. 2001",
                  doi = "10.1109/SIBGRAPI.2001.963037",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2001.963037",
             language = "en",
         organisation = "SBC - Brazilian Computer Society",
                  ibi = "6qtX3pFwXQZeBBx/wihRn",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/wihRn",
           targetfile = "51-58.pdf",
        urlaccessdate = "2024, Apr. 28"
}