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