Gaussian process classification

GPTKB entity

Predicate	Object
gptkbp:instanceOf	gptkb:model statistical classification method
gptkbp:advantage	flexible non-parametric model provides uncertainty estimates
gptkbp:appliesTo	computer vision time series analysis bioinformatics pattern recognition
gptkbp:basedOn	gptkb:Gaussian_process
gptkbp:canBe	linear kernel polynomial kernel Matérn kernel squared exponential kernel
https://www.w3.org/2000/01/rdf-schema#label	Gaussian process classification
gptkbp:introducedIn	1990s
gptkbp:involves	gptkb:Markov_chain_Monte_Carlo Laplace approximation expectation propagation latent function likelihood function
gptkbp:limitation	computationally expensive scales poorly with large datasets
gptkbp:output	gptkb:organization
gptkbp:relatedTo	gptkb:Gaussian_process_regression support vector machine
gptkbp:requires	covariance function
gptkbp:usedFor	supervised learning probabilistic classification
gptkbp:uses	Bayesian inference kernel function
gptkbp:bfsParent	gptkb:Gaussian_process
gptkbp:bfsLayer	6