بدائل البحث:
model optimization » level optimization (توسيع البحث), motor optimization (توسيع البحث), monkey optimizations (توسيع البحث)
data process » batch process (توسيع البحث), water process (توسيع البحث), due process (توسيع البحث)
binary ai » binary rat (توسيع البحث)
ai model » _ model (توسيع البحث)
model optimization » level optimization (توسيع البحث), motor optimization (توسيع البحث), monkey optimizations (توسيع البحث)
data process » batch process (توسيع البحث), water process (توسيع البحث), due process (توسيع البحث)
binary ai » binary rat (توسيع البحث)
ai model » _ model (توسيع البحث)
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
منشور في 2022احصل على النص الكامل
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
منشور في 2024"…In this MOD-POA+ELM algorithm, the modified pelican optimization algorithm (MOD-POA) has been utilized to optimize the parameters of ELM’s hidden neurons. …"
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An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
منشور في 2024"…Feature selection (FS) is the activity of defining the most contributing feature subset among all used features to improve the superiority of datasets with a large number of dimensions by selecting significant features and eliminating redundant and irrelevant ones. Therefore, this process can be seen as an optimization process. The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …"
احصل على النص الكامل
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