Bilaterally Mirrored Movements Improve the Accuracy and Precision of Training Data for Supervised Learning of Neural or Myoelectric Prosthetic Control.
Jacob A. GeorgeTroy N. TullyPaul C. ColganGregory A. ClarkPublished in: CoRR (2020)
Keyphrases
- training data
- supervised learning
- learning algorithm
- classification accuracy
- training set
- precision and recall
- unsupervised learning
- training examples
- high precision
- high accuracy
- decision trees
- unlabeled data
- computational cost
- test data
- generalization error
- prior knowledge
- neural network
- training process
- network architecture
- learning problems
- data sets
- learning tasks
- nonlinear dynamics
- class labels
- training samples
- control system
- prediction accuracy
- labeled data
- semi supervised
- feature space
- supervised machine learning
- feature selection