Titlebook: Intelligent Computing Theories and Applications; 8th International Co De-Shuang Huang,Jianhua Ma,M. Michael Gromiha Conference proceedings

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A Novel Artificial Fish Swarm Algorithm Based on Multi-objective Optimizationblem. In this paper, a novel global artificial fish swarm algorithm is proposed in order to finding the Pareto approximate solution of Mop. The chaotic search initialization and improved differential evolution methods were proposed to lead artificial fish into global optimum value. The experimental

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Comparison of Data Exploration Methods and the BLUP Method in Application to the Animals Breedinge BLUP Animal Model method (Best Linear Unbiased Prediction). The aim of this study is to evaluate the usefulness of data mining methods applied for the prediction of the breeding value of the planned (yet unborn) offspring. Quality assessment of the results was performed using data from the offspri

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An Eigengene-Based Classifier Committee Learning Algorithm for Tumor Classificationrithm. In this method, first, multiple sample feature subspaces of gene expression data are extracted by random subspace method. Then, the gene expression data constructed by these subspaces are modeled by independent component analysis (ICA), respectively. And the corresponding eigengene sets are e

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