Search alternatives:
actions classification » emotion classification (Expand Search), lesion classification (Expand Search), patient classification (Expand Search)
actions classification » emotion classification (Expand Search), lesion classification (Expand Search), patient classification (Expand Search)
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MLP classification.
Published 2025“…This process is crucial for ensuring the efficiency of algorithms that utilize classification techniques, which are commonly applied in risk management, monitoring, diagnosis, and prognosis of patient health. …”
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Naive Bayes classification.
Published 2025“…This process is crucial for ensuring the efficiency of algorithms that utilize classification techniques, which are commonly applied in risk management, monitoring, diagnosis, and prognosis of patient health. …”
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Confusion_Matrix_Data.zip
Published 2025“…</li></ul></li><li><b>Feature Vector Combination:</b></li><li><ul><li>The feature vectors obtained from the three views (front, side, top) are concatenated (combined) to create a single, comprehensive feature vector representing the entire action.</li></ul></li><li><b>l2-Regularized Collaborative Representation Classifier (l2-CRC):</b></li><li><ul><li>The l2-CRC algorithm is used for classification. …”
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GA optimization + Naive Bayes classification.
Published 2025“…This process is crucial for ensuring the efficiency of algorithms that utilize classification techniques, which are commonly applied in risk management, monitoring, diagnosis, and prognosis of patient health. …”
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PSO optimization + Naive Bayes classification.
Published 2025“…This process is crucial for ensuring the efficiency of algorithms that utilize classification techniques, which are commonly applied in risk management, monitoring, diagnosis, and prognosis of patient health. …”
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