The Bounds on the Rate of Uniform Convergence for Learning Machine.
Bin ZouLuoqing LiJie XuPublished in: ISNN (1) (2005)
Keyphrases
- uniform convergence
- learning machines
- vc dimension
- generalization bounds
- generalization error
- sample complexity
- upper bound
- statistical learning theory
- model selection
- lower bound
- sample size
- learning algorithm
- concept classes
- inductive inference
- support vector
- cross validation
- ensemble learning
- kernel machines
- worst case
- generalization ability
- learning problems
- training algorithm
- learning theory
- training set
- machine learning
- learning tasks
- data dependent
- compression scheme
- training data
- pattern recognition
- upper and lower bounds
- support vector machine
- theoretical analysis
- learning rate
- data sets
- special case
- supervised learning
- euclidean space
- neural network