Widely Linear Complex-Valued Kernel Methods for Regression.
Rafael Boloix-TortosaJuan José Murillo-FuentesIrene Santos VelázquezFernando Pérez-CruzPublished in: IEEE Trans. Signal Process. (2017)
Keyphrases
- kernel methods
- complex valued
- kernel ridge regression
- reproducing kernel hilbert space
- support vector
- real valued
- kernel function
- feature space
- kernel matrix
- recurrent neural networks
- machine learning
- multi valued
- support vector machine
- support vector regression
- linear systems
- activation function
- learning tasks
- linear equations
- regression model
- kernel matrices
- model selection
- gaussian processes
- feature selection
- active learning
- linear combination