Statements (71)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software_framework
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:Savoia-Milano
|
| gptkbp:aims_to |
find the optimal hyperplane
|
| gptkbp:based_on |
statistical learning theory
|
| gptkbp:can_be_used_with |
ensemble methods
polynomial kernel linear kernel RBF kernel |
| gptkbp:controls |
non-linear data
|
| gptkbp:developed_by |
gptkb:Vladimir_Vapnik
|
| gptkbp:has_method |
C (regularization parameter)
gamma (kernel coefficient) |
| https://www.w3.org/2000/01/rdf-schema#label |
SVM
|
| gptkbp:is_effective_against |
large datasets
high-dimensional spaces |
| gptkbp:is_implemented_in |
gptkb:MATLAB
gptkb:R gptkb:Library |
| gptkbp:is_popular_in |
image recognition
bioinformatics text classification |
| gptkbp:is_related_to |
support vector classification (SVC)
support vector regression (SVR) |
| gptkbp:is_used_for |
gptkb:computer
outlier detection regression |
| gptkbp:is_used_in |
gptkb:sports_team
gptkb:Company risk management financial forecasting quality control real estate valuation bioinformatics network intrusion detection traffic prediction weather forecasting sentiment analysis customer segmentation credit scoring image classification object detection recommendation systems sales forecasting social network analysis medical diagnosis spam detection healthcare analytics text mining anomaly detection image segmentation insurance risk assessment energy forecasting time series prediction handwriting recognition face detection transportation analysis manufacturing optimization churn prediction market basket analysis telecommunications analysis e-commerce analytics gene classification protein classification |
| gptkbp:requires |
training data
feature scaling |
| gptkbp:scientific_classification |
nan
|
| gptkbp:security_features |
overfitting in high dimensions
|
| gptkbp:sensor |
overfitting
|
| gptkbp:suitable_for |
noisy data
|
| gptkbp:utilizes |
kernel functions
|