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- Margin_classifier abstract "In machine learning, a margin classifer is a classifier which is able to give an associated distance from the decision boundary for each example. For instance, if a linear classifier (e.g. perceptron or linear discriminant analysis) is used, the distance (typically euclidean distance, though others may be used) of an example from the separating hyperplane is the margin of that example.The notion of margin is important in several machine learning classification algorithms, as it can be used to bound the generalization error of the classifier. These bounds are frequently shown using the VC dimension. Of particular prominence is the generalization error bound on boosting algorithms and support vector machines.".
- Margin_classifier wikiPageID "17562674".
- Margin_classifier wikiPageRevisionID "555065027".
- Margin_classifier hasPhotoCollection Margin_classifier.
- Margin_classifier subject Category:Classification_algorithms.
- Margin_classifier subject Category:Statistical_classification.
- Margin_classifier type Abstraction100002137.
- Margin_classifier type Act100030358.
- Margin_classifier type Activity100407535.
- Margin_classifier type Algorithm105847438.
- Margin_classifier type ClassificationAlgorithms.
- Margin_classifier type Event100029378.
- Margin_classifier type Procedure101023820.
- Margin_classifier type PsychologicalFeature100023100.
- Margin_classifier type Rule105846932.
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- Margin_classifier comment "In machine learning, a margin classifer is a classifier which is able to give an associated distance from the decision boundary for each example. For instance, if a linear classifier (e.g.".
- Margin_classifier label "Margin classifier".
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- Margin_classifier sameAs Q6760396.
- Margin_classifier sameAs Q6760396.
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- Margin_classifier isPrimaryTopicOf Margin_classifier.