Media Classification with Bayesian Optimization and Vapnik-Chervonenkis (VC) Bounds.
Sunil BharitkarPublished in: ICASSP (2020)
Keyphrases
- vc dimension
- vapnik chervonenkis
- upper bound
- lower bound
- statistical learning
- support vector
- generalization bounds
- statistical learning theory
- sample complexity
- decision trees
- supervised learning
- text classification
- model selection
- concept classes
- sample size
- machine learning methods
- support vector machine
- machine learning
- learning machines
- inductive inference
- uniform convergence
- machine learning algorithms
- supervised classification
- learning theory
- support vector machine svm
- feature set
- training set
- feature extraction
- feature selection