A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...
Detecting Cyberbullying in Text Using TF-IDF Vectorization and Support Vector Machine Classification
Abstract: Cyberbullying is a prevalent form of harassment in India. It encompasses various behaviors that degrade human body features and sentiments in every conceivable way. Victims of cyberbullying ...
Abstract: Medical data analysis is increasingly used to plan, improve research techniques, and explain diagnoses. The allocation of medical resources is based on the prevalence of specific pathologies ...
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