Choosing the Kernel Parameters for the Directed Acyclic Graph Support Vector Machines.
Kuo-Ping WuSheng-De WangPublished in: MLDM (2007)
Keyphrases
- kernel parameters
- directed acyclic graph
- support vector
- learning machines
- kernel function
- kernel methods
- gaussian processes
- support vector machine
- kernel machines
- directed graph
- training process
- regularization parameter
- random variables
- classification accuracy
- cross validation
- loss function
- feature selection
- svm classifier
- support vectors
- generalization ability
- support vector regression
- binary classification
- graphical models
- genetic algorithm
- random walk
- feature space
- hyperparameters
- variable selection
- feature subset
- learning problems
- neural network
- markov chain