On Optimizing Hyperparameters for Quantum Neural Networks.
Sabrina HerbstVincenzo De MaioIvona BrandicPublished in: CoRR (2024)
Keyphrases
- hyperparameters
- neural network
- model selection
- cross validation
- support vector
- bayesian inference
- closed form
- bayesian framework
- prior information
- gaussian process
- random sampling
- maximum likelihood
- em algorithm
- noise level
- sample size
- incremental learning
- maximum a posteriori
- gaussian processes
- incomplete data
- back propagation
- missing values
- genetic algorithm
- grid search
- artificial neural networks
- nearest neighbor
- bayesian networks
- probabilistic model
- active learning
- parameter settings
- image reconstruction
- markov random field
- decision trees
- computer vision
- data sets
- generative model
- gaussian process regression
- expectation maximization