Using an Evolutionary Algorithm to Optimize the Hyper-parameters of a Cascading Neural Network.
Angus VosJo PlestedPublished in: ICONIP (4) (2019)
Keyphrases
- evolutionary algorithm
- hyperparameters
- neural network
- model selection
- cross validation
- closed form
- bayesian inference
- random sampling
- bayesian framework
- support vector
- em algorithm
- prior information
- genetic algorithm
- variational bayes
- maximum likelihood
- posterior distribution
- sample size
- incremental learning
- noise level
- incomplete data
- maximum a posteriori
- simulated annealing
- differential evolution
- artificial neural networks
- genetic programming
- fitness function
- bayesian methods
- conjugate priors
- parameter settings
- bayesian learning
- generative model
- feature selection
- missing values
- decision trees
- clustering algorithm
- image processing
- computer vision
- machine learning