Multivariate Stochastic Approximation to Tune Neural Network Hyperparameters for Criticial Infrastructure Communication Device Identification.
Trevor J. BihlDaniel SteeneckPublished in: HICSS (2018)
Keyphrases
- stochastic approximation
- hyperparameters
- neural network
- model selection
- cross validation
- bayesian framework
- closed form
- bayesian inference
- monte carlo
- prior information
- support vector
- random sampling
- sample size
- gaussian process
- maximum a posteriori
- maximum likelihood
- em algorithm
- noise level
- regression model
- artificial neural networks
- missing values
- parameter settings
- lower bound
- radial basis function
- probabilistic model
- reinforcement learning