Model selection in omnivariate decision trees using Structural Risk Minimization.
Olcay Taner YildizPublished in: Inf. Sci. (2011)
Keyphrases
- model selection
- structural risk minimization
- decision trees
- empirical risk minimization
- support vector
- generalization bounds
- cross validation
- machine learning
- support vector regression
- hyperparameters
- regression model
- support vector machine
- sample size
- feature selection
- mixture model
- statistical learning
- generalization error
- training data
- naive bayes
- model selection criteria
- gaussian process
- unsupervised learning
- uniform convergence
- variable selection
- machine learning algorithms
- random forest
- kernel function
- vc dimension
- kernel matrix
- learning theory
- loss function
- learning algorithm