Titlebook: Applications of Evolutionary Computing; EvoWorkshops 2006: E Franz Rothlauf,Jürgen Branke,Hideyuki Takagi Conference proceedings 2006 Sprin

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书目名称Applications of Evolutionary Computing影响因子(影响力)




书目名称Applications of Evolutionary Computing影响因子(影响力)学科排名




书目名称Applications of Evolutionary Computing网络公开度




书目名称Applications of Evolutionary Computing网络公开度学科排名




书目名称Applications of Evolutionary Computing被引频次




书目名称Applications of Evolutionary Computing被引频次学科排名




书目名称Applications of Evolutionary Computing年度引用




书目名称Applications of Evolutionary Computing年度引用学科排名




书目名称Applications of Evolutionary Computing读者反馈




书目名称Applications of Evolutionary Computing读者反馈学科排名

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Encyclopedia of Language and Educationlopes for each time-course data can be obtained from the results of GP. We also develop hybrid evolutionary algorithms and modified fitness evaluation function to identify the structure of gene regulatory networks and to estimate the corresponding parameters at the same time. By applying the propose

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Adventism, Eight Laws of Healthto perturbations of the data. This method is tested on a dataset produced by a specific MS technique, called MALDI-TOF MS. Two classes have been artificially generated by spiking. Moreover, the samples have been collected at different storage durations. Leave-one-out cross validation (LOOCV) applied

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https://doi.org/10.1007/978-1-4614-7753-2w method has high power to detect gene-gene interactions in simulated data. We also compare the performance of GENN to GPNN, a traditional back-propagation neural network (BPNN) and a random search algorithm. GENN outperforms both BPNN and the random search, and performs at least as well as GPNN. Th

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Encyclopedia of Lubricants and Lubricationubstructures. We apply EMO-CC to the Gene Ontology database to recover interesting substructures that describes problems from different points of view and use them to explain inmuno-inflammatory responses measured in terms of gene expression profiles derived from the analysis of longitudinal blood e

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Incorporating Biological Domain Knowledge into Cluster Validity Assessmentty between genes products (biological distances). The results contribute to the evaluation of clustering outcomes and the identification of optimal cluster partitions, which may represent an effective tool to support biomedical knowledge discovery in gene expression data analysis.

Aspirin

Multi-stage Evolutionary Algorithms for Efficient Identification of Gene Regulatory Networkslopes for each time-course data can be obtained from the results of GP. We also develop hybrid evolutionary algorithms and modified fitness evaluation function to identify the structure of gene regulatory networks and to estimate the corresponding parameters at the same time. By applying the propose