Ensemble Kernel Methods, Implicit Regularization and Determinental Point Processes.
Joachim SchreursMichaël FanuelJohan A. K. SuykensPublished in: CoRR (2020)
Keyphrases
- kernel methods
- point processes
- reproducing kernel hilbert space
- kernel ridge regression
- kernel matrices
- monte carlo
- kernel function
- machine learning
- hot spots
- reproducing kernel
- learning problems
- feature space
- support vector
- kernel matrix
- support vector machine
- ensemble methods
- learning tasks
- neural network
- rademacher complexity
- regularization parameter
- kernel pca
- data dependent
- spatial analysis
- kernel machines
- training set
- tikhonov regularization
- feature selection
- multiple kernel learning
- computer vision
- learning algorithm
- data mining
- image processing
- loss function
- kernel principal component analysis
- face recognition
- markov chain
- kernel fisher discriminant analysis
- data sets