Search alternatives:
feature optimization » resource optimization (Expand Search), feature elimination (Expand Search), structure optimization (Expand Search)
design optimization » bayesian optimization (Expand Search)
task feature » based feature (Expand Search), each feature (Expand Search), a feature (Expand Search)
binary task » binary mask (Expand Search)
binary case » binary mask (Expand Search), binary image (Expand Search), primary case (Expand Search)
case design » based design (Expand Search), game design (Expand Search), core design (Expand Search)
feature optimization » resource optimization (Expand Search), feature elimination (Expand Search), structure optimization (Expand Search)
design optimization » bayesian optimization (Expand Search)
task feature » based feature (Expand Search), each feature (Expand Search), a feature (Expand Search)
binary task » binary mask (Expand Search)
binary case » binary mask (Expand Search), binary image (Expand Search), primary case (Expand Search)
case design » based design (Expand Search), game design (Expand Search), core design (Expand Search)
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41
Transformation of symbolic features in NSL-KDD.
Published 2023“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …”
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42
Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP
Published 2022“…In this paper, a non-invasive and low-cost method of fatigue driving state identification based on genetic algorithm optimization of generalized regression neural network model is proposed. …”
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43
Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf
Published 2020“…In this way, for each binary problem, the CSP algorithm produces features to determine if the specific body part is engaged in the task or not. …”
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44
Models and Dataset
Published 2025“…The algorithm does not rely on predefined control parameters like crossover or mutation rates, which makes it lightweight and easy to implement for various feature selection and optimization tasks.…”