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https://doi.org/10.1007/978-981-33-6984-9Intelligent Systems; Machine Vision; Robotics; Computational intelligence; Proceedings CIS 2020谷类 发表于 2025-4-1 06:43:39
978-981-33-6983-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor悬崖 发表于 2025-4-1 14:13:07
Congress on Intelligent Systems978-981-33-6984-9Series ISSN 2194-5357 Series E-ISSN 2194-5365极少 发表于 2025-4-1 17:34:53
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https://doi.org/10.1007/978-3-7643-7842-4ormation Gain, Relief are used. After minimizing the subset of features, we apply three traditional machine learning classifiers (Naïve Byes, Bayesian Network, Decision Stump) along with the hybrid method which shows better performance in terms of performance metrics. This research improved accuracy