A new approach to probabilistic classification based on Gaussian process and support vector machine.
Tanvir Ibna KaisarKais ZamanMohammad T. KhasawnehPublished in: Comput. Ind. Eng. (2023)
Keyphrases
- gaussian process
- support vector machine
- gaussian processes
- support vector
- kernel logistic regression
- hyperparameters
- svm classifier
- model selection
- machine learning
- gaussian process classification
- feature vectors
- gaussian process regression
- decision boundary
- bayesian framework
- feature space
- regression model
- feature selection
- training set
- multi class
- training data
- feature extraction
- approximate inference
- image classification
- generative model
- kernel function
- cross validation
- bayesian networks
- gaussian process models
- probabilistic model
- data sets
- bayesian inference
- prior information
- higher order
- semi supervised