Determination of feature relevance for the grouping of motor unit action potentials through a generative mixture model.
Alfredo VellidoAdriano O. AndradePublished in: Biomed. Signal Process. Control. (2007)
Keyphrases
- action potentials
- mixture model
- feature relevance
- generative model
- feature selection
- unsupervised learning
- probabilistic model
- em algorithm
- feature weighting
- spiking neurons
- model selection
- expectation maximization
- active learning
- discriminative learning
- text categorization
- maximum likelihood
- electrical activity
- semi supervised
- topic models
- pattern recognition
- genetic algorithm
- training data
- prior knowledge
- neural network
- language model