CORDIS Project
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This project focuses on developing advanced classification methods for multiclass problems in fields like biomedical imaging. It aims to optimize ensemble classifiers using Error Correcting Output Code techniques to improve accuracy and efficiency in real-world applications.
Learning by kernels has interested researchers for many years and various types of kernel learning algorithms have been developed under different kinds of numerical optimization methods.
Because of the heterogeneity of the real world data, combination of different kernels has been studied for binary class problems over the last decade.
However, in reality, not every case is binary.
Indeed, there are multiclass classification problems in engineering and applied sciences such as biomedical imaging…
UNIVERSITY OF SURREY
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