Accelerating the rate of convergence for LMS-like on-line identification and adaptation algorithms. Part 1: Basic ideas.
Jaroslaw FigwerMalgorzata I. MichalczykTeresa GlówkaPublished in: MMAR (2017)
Keyphrases
- data structure
- times faster
- machine learning
- artificial intelligence
- convergence rate
- orders of magnitude
- optimization problems
- computationally efficient
- theoretical analysis
- benchmark datasets
- stochastic approximation
- graph theory
- denoising
- significant improvement
- computational complexity
- image processing
- learning algorithm