Miss Hybrid Full Download [REPACK]
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The command downloads and installs SSM Agent onto the server or VM in your hybrid environment. The command stops SSM Agent, and then registers the server or VM with the Systems Manager service.
This paper describes a hybrid neural network capable of incremental learning and classification of patterns with missing features. Fuzzy ARTMAP is employed as the constituting network for pattern classification while a number of Fuzzy c-Means clustering algorithms are employed for undertaking the incomplete data problem. To handle training samples with missing features, Fuzzy ARTMAP is first trained with complete samples. Training samples containing missing features are then presented, and the missing values are estimated and replaced by using two FCM-based algorithms. After that, network training is conducted again with all the complete and estimated samples. To handle test samples with missing features, a non-substitution FCM-based approach is employed to yield a predicted output rapidly. A real medical database is used to evaluate, empirically, the performance of the hybrid FAM-FCM network. The results are analysed, discussed, and quantified statistically with the bootstrap method.
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