A review of machine learning kernel methods in statistical process monitoring.
Anastasios ApsemidisStelios PsarakisJavier M. MoguerzaPublished in: Comput. Ind. Eng. (2020)
Keyphrases
- kernel methods
- machine learning
- learning problems
- support vector
- support vector machine
- kernel function
- learning tasks
- kernel matrix
- statistical methods
- feature space
- reproducing kernel hilbert space
- kernel pca
- data mining
- kernel ridge regression
- kernel matrices
- statistical inference
- multiple kernel
- multiple kernel learning
- decision trees
- high dimensional
- pairwise
- kernel learning
- kernel fisher discriminant analysis
- semi supervised learning
- neural network
- learning frameworks
- feature selection
- high dimensional feature space
- information extraction
- learning theory
- input space
- text classification
- model selection