Combination of Nearest Neighborhood Classifiers Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Majid:2005:INMIC,

• author = "Abdul Majid and Asifullah Khan and Anwar M. Mirza",
• title = "Combination of Nearest Neighborhood Classifiers Using Genetic Programming",
• booktitle = "9th International Multitopic Conference (INMIC 2005)",
• year = "2005",
• pages = "1--6",
• address = "Karachi, Pakistan",
• month = "23-25 " # dec # " 2005",
• publisher = "Pakistan Section IEEE",
• keywords = "genetic algorithms, genetic programming, pattern classification, GP-based intelligent scheme, decision space, nearest neighborhood classifiers, optimal composite classifier, optimal model selection",
• ISBN = "0-7803-9429-1",
• DOI = "doi:10.1109/INMIC.2005.334486",
• abstract = "In this paper, GP based intelligent scheme has been used to develop an optimal composite classifier (OCC) from individual nearest neighbor (NN) classifiers. In the combining scheme, first, the predicted information is extracted from the component classifiers. Then, GP is used to develop OCC having better performance than individual NN classifiers. The experimental results demonstrate that the combined decision space of OCC is more effective. Further, we observed that heterogeneous combination of classifiers has more promising results than their homogenous one. Another side advantage of our GP based intelligent combination scheme is that it automatically incorporates the issues of optimal model selection of NN classifiers to achieve a higher performance prediction model",
• notes = "Also known as \cite{4133501}",

}

Genetic Programming entries for Abdul Majid Asifullah Khan Anwar M Mirza

Citations