Approximation Methods for Supervised Learning.
Ronald A. DeVoreGerard KerkyacharianDominique PicardVladimir N. TemlyakovPublished in: Found. Comput. Math. (2006)
Keyphrases
- approximation methods
- supervised learning
- unsupervised learning
- training data
- learning tasks
- semi supervised
- active learning
- reinforcement learning
- training set
- learning algorithm
- machine learning
- function approximators
- labeled data
- semi supervised learning
- belief state
- unlabeled data
- feature selection
- temporal difference
- neural network
- training samples
- vision system
- graphical models
- data sets
- high dimensional
- similarity measure