Statements (16)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:mathematical_concept
|
| gptkbp:appliesTo |
gptkb:kernel_methods
support vector machines |
| gptkbp:author |
gptkb:Thomas_M._Cover
|
| gptkbp:field |
gptkb:machine_learning
pattern recognition |
| gptkbp:hasConcept |
A complex pattern-classification problem cast in a high-dimensional space nonlinearly is more likely to be linearly separable than in a low-dimensional space.
|
| gptkbp:namedAfter |
gptkb:Thomas_M._Cover
|
| gptkbp:relatedConcept |
feature space
linear separability nonlinear transformation |
| gptkbp:statedIn |
gptkb:Geometrical_and_Statistical_Properties_of_Systems_of_Linear_Inequalities_with_Applications_in_Pattern_Recognition
|
| gptkbp:yearStated |
1965
|
| gptkbp:bfsParent |
gptkb:Thomas_Cover
|
| gptkbp:bfsLayer |
7
|
| https://www.w3.org/2000/01/rdf-schema#label |
Cover's theorem
|