Intelligent Combination of Kernels Information for Improved Classification
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{10.1109/ICMLA.2005.42,
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author = "Abdul Majid and Asifullah Khan and Anwar M. Mirza",
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title = "Intelligent Combination of Kernels Information for
Improved Classification",
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booktitle = "Fourth International Conference on Machine Learning
and Applications (ICMLA'05)",
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year = "2005",
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pages = "16--21",
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address = "Los Angeles",
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publisher_address = "Los Alamitos, CA, USA",
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publisher = "IEEE Computer Society",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "0-7695-2495-8",
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DOI = "doi:10.1109/ICMLA.2005.42",
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abstract = "we are proposing a combination scheme of kernels
information of Support Vector Machines (SVMs) for
improved classification task using Genetic Programming.
In the scheme, first, the predicted information is
extracted by SVM through the learning of different
kernel functions. GP is then used to develop an Optimal
Composite Classifier (OCC) having better performance
than individual SVM classifiers. The experimental
results demonstrate that OCC is more effective,
generalised and robust. Specifically, it attains high
margin of improvement at small features. Another side
advantage of our GP based intelligent combination
scheme is that it automatically incorporates the issues
of optimal kernel and model selection to achieve a
higher performance prediction model.",
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notes = "http://ieeexplore.ieee.org/servlet/opac?punumber=10693",
- }
Genetic Programming entries for
Abdul Majid
Asifullah Khan
Anwar M Mirza
Citations