Randomized algorithms for nonlinear system identification with deep learning modification.
Erick De la RosaWen YuPublished in: Inf. Sci. (2016)
Keyphrases
- deep learning
- randomized algorithms
- lower bound
- approximation algorithms
- unsupervised learning
- unsupervised feature learning
- machine learning
- worst case
- mental models
- practical problems
- weakly supervised
- upper bound
- randomized algorithm
- learning algorithm
- data sets
- multi class
- special case
- greedy algorithm
- active learning