I. Mettildha Mary1,*, K. Karuppasamy2
Computer Systems Science and Engineering, Vol.46, No.3, pp. 2667-2685, 2023, DOI:10.32604/csse.2023.031114
Abstract CC’s (Cloud Computing) networks are distributed and dynamic as signals appear/disappear or lose significance. MLTs (Machine learning Techniques)
train datasets which sometime are inadequate in terms of sample for inferring
information. A dynamic strategy, DevMLOps (Development Machine Learning
Operations) used in automatic selections and tunings of MLTs result in significant
performance differences. But, the scheme has many disadvantages including continuity in training, more samples and training time in feature selections and
increased classification execution times. RFEs (Recursive Feature Eliminations)
are computationally very expensive in its operations as it traverses through each
feature without considering correlations between them. This problem can… More >
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