Order Optimization of Evolutionary Hypernetworks Using Genetic Algorithm

Hyper networks consist of a large number of hyper edges that represent high-order features sampled from training sets. The order of hyper edges is an important parameter of a hyper network model and influences the performance of the hyper network classification system. Previous studies determine the...

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Bibliographische Detailangaben

Hauptverfasser:	Jin Wang, Gang Chen, Jun Zhang, Yuao Liu, Mingxing Hu, Mingwei Shao
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy adaptability Adaptation models Cancer Colon evolutionary hypernetwork genetic algorithm Genetic algorithms order optimization Pattern matching Training
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