Support Vector Classification

GPTKB entity

Predicate	Object
gptkbp:instanceOf	gptkb:model
gptkbp:advantage	effective in high dimensional spaces memory efficient computationally intensive for large datasets requires parameter tuning sensitive to choice of kernel
gptkbp:appliesTo	bioinformatics image recognition handwriting recognition text classification
gptkbp:canBe	nonlinear classification linear classification
gptkbp:category	binary classification multiclass classification
gptkbp:fileExtension	gptkb:C-SVC gptkb:Nu-SVC gptkb:One-vs-One_SVC gptkb:One-vs-Rest_SVC
gptkbp:form	convex optimization quadratic programming
https://www.w3.org/2000/01/rdf-schema#label	Support Vector Classification
gptkbp:implementedIn	gptkb:TensorFlow gptkb:LIBSVM gptkb:PyTorch gptkb:scikit-learn
gptkbp:introduced	gptkb:Corinna_Cortes gptkb:Vladimir_Vapnik
gptkbp:introducedIn	1995
gptkbp:openSource	gptkb:noble_family gptkb:LIBSVM gptkb:Weka gptkb:scikit-learn_SVC
gptkbp:output	class label decision function
gptkbp:parameter	gptkb:university gptkb:operating_system gamma C (regularization parameter) coef0
gptkbp:partOf	gptkb:Support_Vector_Machine
gptkbp:relatedTo	gptkb:Kernel_Methods gptkb:Linear_Classifier gptkb:Support_Vector_Regression
gptkbp:requires	labeled data
gptkbp:usedFor	gptkb:dictionary
gptkbp:usedIn	supervised learning
gptkbp:uses	hyperplane kernel trick support vectors
gptkbp:bfsParent	gptkb:SVC
gptkbp:bfsLayer	6