Gaussian kernels for incomplete data.
Diego P. P. MesquitaJoão P. P. GomesFrancesco CoronaAmauri Holanda de Souza JúniorJuvêncio S. NobrePublished in: Appl. Soft Comput. (2019)
Keyphrases
- incomplete data
- gaussian kernels
- missing data
- missing values
- gaussian kernel
- learning rate
- kernel function
- bayesian networks
- em algorithm
- reproducing kernel hilbert space
- high dimensional feature space
- feature space
- multiple kernel learning
- scale space
- hyperparameters
- kernel learning
- maximum likelihood
- mixture model
- machine learning
- multi class
- support vector machine
- high dimensional
- training data