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: EMBC (2020)
Keyphrases
- supervised learning
- training data
- classification accuracy
- training set
- precision and recall
- labeled data
- high precision
- learning algorithm
- class labels
- training examples
- error rate
- training samples
- test set
- high accuracy
- prediction accuracy
- unsupervised learning
- computational cost
- learning tasks
- generalization error
- network architecture
- data sets
- neural model
- training dataset
- unlabeled data
- semi supervised learning
- semi supervised
- active learning
- prior knowledge
- reinforcement learning
- decision trees
- precision recall
- unseen data
- control theory
- annotation effort
- bio inspired
- classification models
- learning problems
- test data
- domain knowledge
- machine learning