Analyzing the discrepancy principle for kernelized spectral filter learning algorithms.
Alain CelisseMartin WahlPublished in: J. Mach. Learn. Res. (2021)
Keyphrases
- learning algorithm
- machine learning algorithms
- active learning
- training data
- spectral analysis
- kernel function
- machine learning
- efficient learning
- noise reduction
- supervised learning
- fuzzy clustering
- filtering algorithm
- multispectral images
- spectral characteristics
- filter outputs
- training samples
- learning process
- reinforcement learning
- multispectral
- image segmentation
- hyperspectral
- decision trees
- data sets
- learning vector quantization