Statistical Learning Theory

GPTKB entity

Predicate	Object
gptkbp:instanceOf	gptkb:logic
gptkbp:developedBy	gptkb:Alexey_Chervonenkis gptkb:Vladimir_Vapnik
gptkbp:fieldOfStudy	gptkb:machine_learning gptkb:mathematics statistics
gptkbp:focusesOn	gptkb:empirical_risk_minimization statistical inference overfitting model selection generalization structural risk minimization risk minimization
gptkbp:hasConcept	gptkb:law_of_large_numbers gptkb:empirical_process_theory gptkb:VC_dimension consistency loss function uniform convergence concentration inequalities generalization error sample complexity capacity control probabilistic bounds risk functional
https://www.w3.org/2000/01/rdf-schema#label	Statistical Learning Theory
gptkbp:influenced	gptkb:PAC_learning gptkb:kernel_methods gptkb:VC_dimension regularization support vector machines
gptkbp:introduced	1960s
gptkbp:notableWork	gptkb:The_Nature_of_Statistical_Learning_Theory A. Ya. Chervonenkis and V. N. Vapnik, 1971 paper
gptkbp:publishedIn	gptkb:Nature gptkb:IEEE_Transactions_on_Neural_Networks
gptkbp:relatedTo	gptkb:dictionary learning theory pattern recognition regression supervised learning
gptkbp:usedIn	gptkb:artificial_intelligence computer vision data science natural language processing speech recognition bioinformatics
gptkbp:bfsParent	gptkb:Vladimir_Vapnik
gptkbp:bfsLayer	5