Time Series Prediction for Kernel-based Adaptive Filters Using Variable Bandwidth, Adaptive Learning-rate, and Dimensionality Reduction.
Sergio García-VegaE. A. León-GómezGermán Castellanos-DomínguezPublished in: ICASSP (2019)
Keyphrases
- dimensionality reduction
- adaptive learning rate
- learning rate
- kernel pca
- neural network
- data representation
- feature extraction
- high dimensional
- low dimensional
- principal component analysis
- high dimensional data
- artificial neural networks
- feature space
- kernel methods
- feature selection
- support vector machine
- data points
- linear programming
- principal components