Fully Convolutional Deep Neural Networks with Optimized Hyperparameters for Detection of Shockable and Non-Shockable Rhythms.
Vessela Tz. KrastevaSarah MénétréJean-Philippe DidonIrena JekovaPublished in: Sensors (2020)
Keyphrases
- hyperparameters
- neural network
- model selection
- cross validation
- closed form
- bayesian inference
- bayesian framework
- em algorithm
- gaussian processes
- gaussian process
- deep learning
- maximum likelihood
- prior information
- random sampling
- maximum a posteriori
- parameter settings
- support vector
- sample size
- incomplete data
- back propagation
- dimensionality reduction
- noise level
- upper bound
- prior knowledge
- lower bound
- genetic algorithm