Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis.
Tony Van GestelJohan A. K. SuykensGert R. G. LanckrietAnnemie LambrechtsBart De MoorJoos VandewallePublished in: Neural Comput. (2002)
Keyphrases
- bayesian framework
- gaussian processes
- least squares
- gaussian process
- hyperparameters
- prior knowledge
- generative model
- gaussian process models
- maximum a posteriori
- ls svm
- bayesian methods
- parameter estimation
- multi task learning
- probability density function
- expectation maximization
- machine learning
- kernel methods
- optical flow
- kernel pca
- kernel principal component analysis
- multi task