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As an extension of Genetic Algorithm (GA) and Genetic Programming (GP), a new approach named Genetic Network Programming (GNP) has been proposed in the evolutionary computation field. GNP uses multiple reusable nodes to construct directed-graph structures to represent its solutions. Recently, many research has clarified that GNP can work well in data mining area. In this paper, a novel evolutionary...
In this paper, a method of time-related class association rule mining is proposed based on genetic network programming (GNP) combined with estimation of distribution algorithms (EDAs). There are two important points in this paper: the first important point is to combine GNP with estimation of distribution algorithms which are a novel evolution strategy. The second important point is that three kinds...
In this paper, we propose a novel spectral subtraction approach for speech enhancement via maximum likelihood estimate (MLE). This scheme attempts to simulate the probability distribution of useful speech signals and hence maximally reduce the noise. To evaluate the quality of speech enhancement, we extract cepstral features from the enhanced signals, and then apply them to a dynamic time warping...
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