Hyperparameter Optimization of Deep Neural Networks Using Non-Probabilistic RBF Surrogate Model.
Ilija IlievskiTaimoor AkhtarJiashi FengChristine A. ShoemakerPublished in: CoRR (2016)
Keyphrases
- neural network
- optimization model
- probabilistic model
- computational model
- rbf neural network
- prediction model
- mathematical model
- neural network model
- machine learning
- bayesian framework
- pattern recognition
- high level
- radial basis function
- maximum likelihood
- posterior probability
- prior knowledge
- rbf network
- optimization procedure
- radial basis function neural network
- adaptive resonance theory