Identifying Best Hyperparameters for Deep Architectures Using Random Forests.
Zhen-Zhen LiZhuo-Yao ZhongLian-Wen JinPublished in: LION (2015)
Keyphrases
- random forests
- hyperparameters
- deep architectures
- model selection
- cross validation
- support vector
- logistic regression
- bayesian inference
- closed form
- random forest
- bayesian framework
- prior information
- decision trees
- ensemble methods
- machine learning algorithms
- gaussian process
- random sampling
- unsupervised learning
- maximum likelihood
- maximum a posteriori
- noise level
- sample size
- em algorithm
- incomplete data
- machine learning
- prior knowledge
- regression model
- learning algorithm
- missing values
- training set
- probabilistic model
- active learning