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The curse of dimensionality in machine learning we are introducing in this paper is caused by increasing data, and the research focus of feature selection is described. The formalized definitions of redundancy and relevance of feature are presented. Based on entropy and mutual information of information theory, the issue of how to measure the relevance between features is discussed. The main contributions...
In this work, we present a hypothesis about a potential major internal crisis (MIC) season in the future of the United States (US). Specifically, analyzing the surrounding, population and financial problems faced by the United States, with the aid of 3-layer feedforward neuronets (FN) equipped with weights-and-structure-determination (WASD) algorithm, we get the hypothesis with relatively high reliability...
An improved multi-objective particle swarm optimization (IMOPSO) is presented because of the different demand for decision and state variables in engineering optimizations. IMOPSO adopts a new method of dynamic change about acceleration coefficients based on sine transform to improve the ability of global search in early period and the local search ability in the last runs of the algorithm. To expand...
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