Model Selection in Clustering by Uniform Convergence Bounds.
Joachim M. BuhmannMarcus HeldPublished in: NIPS (1999)
Keyphrases
- model selection
- uniform convergence
- generalization bounds
- generalization error
- cross validation
- unsupervised learning
- large deviations
- sample size
- hyperparameters
- vc dimension
- regression model
- risk minimization
- gaussian process
- mixture model
- k means
- statistical learning
- feature selection
- learning theory
- reproducing kernel hilbert space
- sample complexity
- machine learning
- statistical learning theory
- learning rate
- variable selection
- sufficient conditions
- linear classifiers
- supervised classification
- data dependent
- real valued
- outlier detection
- semi supervised
- active learning
- upper and lower bounds
- upper bound
- learning algorithm