Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDS.
Mohit SewakSanjay K. SahayHemant RathorePublished in: CoRR (2020)
Keyphrases
- relative importance
- hyperparameters
- model selection
- cross validation
- closed form
- bayesian inference
- support vector
- bayesian framework
- random sampling
- maximum likelihood
- noise level
- variational bayes
- em algorithm
- maximum a posteriori
- prior information
- incremental learning
- sample size
- posterior distribution
- incomplete data
- bayesian methods
- missing values
- parameter space
- parameter settings
- neural network
- conjugate priors
- probabilistic model
- multiscale
- feature selection
- information retrieval