Myoelectric digit action decoding with multi-output, multi-class classification: an offline analysis
The ultimate goal of machine learning-based myoelectric control is simultaneous and independent control of multiple degrees of freedom (DOFs), including wrist and digit artificial joints. For ...
Spammer detection is essentially a process of judging the authenticity of users, and thus can be regarded as a classification problem. In order to improve the classification performance, ...
Multi-Class Classification Using New PyTorch Best Practices, Part 2: Training, Accuracy, Predictions
Following new best practices, Dr. James McCaffrey of Microsoft Research revisits multi-class classification for when the variable to predict has three or more possible values. This is the second of ...
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