يعرض 201 - 220 نتائج من 386 نتيجة بحث عن 'task selective algorithm', وقت الاستعلام: 0.13s تنقيح النتائج
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    GMM-KVS method flowchart. حسب Jingnan Yan (20727331)

    منشور في 2025
    "…To address this challenge, this paper proposes a novel trajectory learning method for robotic arms that combines Gaussian Mixture Model with a k-value selection algorithm. The proposed approach leverages the principles of the elbow method along with the properties of exponential functions, correction terms, and weight adjustments to accurately determine the optimal k-value. …"
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    Collected demonstration trajectories. حسب Jingnan Yan (20727331)

    منشور في 2025
    "…To address this challenge, this paper proposes a novel trajectory learning method for robotic arms that combines Gaussian Mixture Model with a k-value selection algorithm. The proposed approach leverages the principles of the elbow method along with the properties of exponential functions, correction terms, and weight adjustments to accurately determine the optimal k-value. …"
  6. 206

    Schematic diagram of the elbow method. حسب Jingnan Yan (20727331)

    منشور في 2025
    "…To address this challenge, this paper proposes a novel trajectory learning method for robotic arms that combines Gaussian Mixture Model with a k-value selection algorithm. The proposed approach leverages the principles of the elbow method along with the properties of exponential functions, correction terms, and weight adjustments to accurately determine the optimal k-value. …"
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    D3 training with noise—Testing without noise. حسب Hao Zhang (15339)

    منشور في 2025
    "…Firstly, the log parsing algorithm is used to parse the logs. Then, the feature extraction algorithm, which combines Long Short-Term Memory and Autoencoder-Decoder, is applied to extract features. …"
  15. 215

    Comparison of methods for log anomaly detection. حسب Hao Zhang (15339)

    منشور في 2025
    "…Firstly, the log parsing algorithm is used to parse the logs. Then, the feature extraction algorithm, which combines Long Short-Term Memory and Autoencoder-Decoder, is applied to extract features. …"
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    D4 Training with noise—Testing with noise. حسب Hao Zhang (15339)

    منشور في 2025
    "…Firstly, the log parsing algorithm is used to parse the logs. Then, the feature extraction algorithm, which combines Long Short-Term Memory and Autoencoder-Decoder, is applied to extract features. …"
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    Ablation study. حسب Hao Zhang (15339)

    منشور في 2025
    "…Firstly, the log parsing algorithm is used to parse the logs. Then, the feature extraction algorithm, which combines Long Short-Term Memory and Autoencoder-Decoder, is applied to extract features. …"
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    D1 training without noise—Testing without noise. حسب Hao Zhang (15339)

    منشور في 2025
    "…Firstly, the log parsing algorithm is used to parse the logs. Then, the feature extraction algorithm, which combines Long Short-Term Memory and Autoencoder-Decoder, is applied to extract features. …"
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    One case of log file anomaly detection is shown. حسب Hao Zhang (15339)

    منشور في 2025
    "…Firstly, the log parsing algorithm is used to parse the logs. Then, the feature extraction algorithm, which combines Long Short-Term Memory and Autoencoder-Decoder, is applied to extract features. …"
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    Comparison of F1 score. حسب Hao Zhang (15339)

    منشور في 2025
    "…Firstly, the log parsing algorithm is used to parse the logs. Then, the feature extraction algorithm, which combines Long Short-Term Memory and Autoencoder-Decoder, is applied to extract features. …"