SOCKS: A Stochastic Optimal Control and Reachability Toolbox Using Kernel Methods.
Adam J. ThorpeMeeko OishiPublished in: HSCC (2022)
Keyphrases
- kernel methods
- kernel function
- learning problems
- support vector
- machine learning
- feature space
- kernel matrix
- support vector machine
- kernel parameters
- learning tasks
- reproducing kernel hilbert space
- kernel matrices
- graph kernels
- kernel principal component analysis
- multiple kernel learning
- similarity function
- feature extraction
- kernel fisher discriminant analysis
- high dimensional feature space
- neural network
- gaussian kernel
- kernel pca
- kernel learning
- multiple kernel
- data sets