Trainable pruned ternary quantization for medical signal classification models.
Yamil VindasBlaise Kévin GuépiéMarilys AlmarEmmanuel RouxPhilippe DelachartrePublished in: Neurocomputing (2024)
Keyphrases
- classification models
- decision trees
- training data
- feature selection
- wavelet packet
- quantization noise
- software quality classification
- feature set
- signal processing
- decision tree algorithm
- high frequency
- high signal to noise ratio
- band limited
- quantization error
- matching pursuit
- non stationary
- database
- frequency domain
- tree structured vector quantization
- models built
- search algorithm
- genetic algorithm
- neural network
- data sets