In this article, we describe a new classification methodology based on the use of Independent Com... more In this article, we describe a new classification methodology based on the use of Independent Component Analysis and Wavelet decomposition (ICAW) techniques. An ensemble system of classifiers is built such that each classifier independently decides the assignation of the test examples on several representations resulted by taking projections computed by wavelets and Independent Component Analysis (ICA). The representations used by the individual classifiers are obtained by taking the real and imaginary part of the wavelet decompositions, as well as the magnitude and phase. The decision of the ensemble system is based on several types of voting rules (such as the majority voting rule or a weighted voting rule). The experimental results presented in the paper show that the proposed ensemble systems of classifiers provide higher accuracy in the particular problem of classifying biomedical data.
In this article, we describe a new classification methodology based on the use of Independent Com... more In this article, we describe a new classification methodology based on the use of Independent Component Analysis and Wavelet decomposition (ICAW) techniques. An ensemble system of classifiers is built such that each classifier independently decides the assignation of the test examples on several representations resulted by taking projections computed by wavelets and Independent Component Analysis (ICA). The representations used by the individual classifiers are obtained by taking the real and imaginary part of the wavelet decompositions, as well as the magnitude and phase. The decision of the ensemble system is based on several types of voting rules (such as the majority voting rule or a weighted voting rule). The experimental results presented in the paper show that the proposed ensemble systems of classifiers provide higher accuracy in the particular problem of classifying biomedical data.
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Papers by Corina Sȃraru