Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions.
Mojtaba Sahraee-ArdakanMelikasadat EmamiParthe PanditSundeep RanganAlyson K. FletcherPublished in: CoRR (2022)
Keyphrases
- kernel methods
- linear models
- high dimensions
- multi layer perceptron
- variable selection
- support vector machine
- high dimensional
- high dimensional data
- kernel function
- linear model
- support vector
- feature space
- gaussian processes
- high dimensional spaces
- learning problems
- neural network
- learning tasks
- machine learning
- artificial neural networks
- reproducing kernel hilbert space
- linear regression
- radial basis function
- poor quality
- low dimensional
- bayesian networks
- missing data
- causal relationships
- feature vectors
- nonlinear models