Optimizing Neural Network Hyperparameters with Gaussian Processes for Dialog Act Classification.
Franck DernoncourtJi Young LeePublished in: CoRR (2016)
Keyphrases
- gaussian processes
- hyperparameters
- model selection
- support vector
- gaussian process
- cross validation
- covariance function
- bayesian methods
- gaussian process regression
- incremental learning
- bayesian framework
- bayesian inference
- closed form
- em algorithm
- random sampling
- sample size
- prior information
- noise level
- maximum a posteriori
- maximum likelihood
- decision trees
- feature space
- feature vectors
- machine learning
- learning tasks
- prior knowledge
- regression model
- support vector machine
- kernel function
- probability distribution
- supervised learning