|
gptkbp:instanceOf
|
gptkb:model
|
|
gptkbp:canBe
|
gptkb:diagnosis
bioinformatics
financial forecasting
fraud detection
pattern recognition
time series prediction
handwriting recognition
image classification
gene expression analysis
sentiment analysis
face detection
object detection
text classification
customer segmentation
spam detection
protein classification
|
|
gptkbp:canHandleNonlinearData
|
true
|
|
gptkbp:canUseKernelTrick
|
true
|
|
gptkbp:category
|
supervised learning
|
|
gptkbp:fullName
|
gptkb:Support_Vector_Machine
|
|
gptkbp:hasConcept
|
hyperplane
support vectors
maximizing margin between classes
|
|
gptkbp:implementedIn
|
gptkb:TensorFlow
gptkb:LIBSVM
gptkb:Weka
gptkb:scikit-learn
R
|
|
gptkbp:introduced
|
gptkb:Alexey_Chervonenkis
gptkb:Vladimir_Vapnik
|
|
gptkbp:introducedIn
|
1990s
|
|
gptkbp:kernelTypes
|
gptkb:algebra
linear
sigmoid
radial basis function
|
|
gptkbp:openSource
|
gptkb:LIBSVM
gptkb:Weka
gptkb:scikit-learn
R
|
|
gptkbp:optimizationProblem
|
quadratic programming
|
|
gptkbp:output
|
continuous values
discrete labels
|
|
gptkbp:relatedTo
|
structural risk minimization
maximum margin classifier
soft margin classifier
|
|
gptkbp:requiresLabeledData
|
true
|
|
gptkbp:sensitivity
|
feature scaling
|
|
gptkbp:usedFor
|
gptkb:dictionary
regression
outlier detection
|
|
gptkbp:bfsParent
|
gptkb:Alliance_of_Vojvodina_Hungarians
gptkb:SV_Meppen
gptkb:Pegasos
gptkb:Support_Vector_Machines
gptkb:AMD-V
|
|
gptkbp:bfsLayer
|
7
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
SVM
|