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- VC_dimension abstract "In statistical learning theory, or sometimes computational learning theory, the VC dimension (for Vapnik–Chervonenkis dimension) is a measure of the capacity of a statistical classification algorithm, defined as the cardinality of the largest set of points that the algorithm can shatter. It is a core concept in Vapnik–Chervonenkis theory, and was originally defined by Vladimir Vapnik and Alexey Chervonenkis.Informally, the capacity of a classification model is related to how complicated it can be. For example, consider the thresholding of a high-degree polynomial: if the polynomial evaluates above zero, that point is classified as positive, otherwise as negative. A high-degree polynomial can be wiggly, so it can fit a given set of training points well. But one can expect that the classifier will make errors on other points, because it is too wiggly. Such a polynomial has a high capacity. A much simpler alternative is to threshold a linear function. This function may not fit the training set well, because it has a low capacity. This notion of capacity is made more rigorous below.".
- VC_dimension thumbnail VC1.svg?width=300.
- VC_dimension wikiPageExternalLink burges98tutorial.html.
- VC_dimension wikiPageExternalLink vcdim.html.
- VC_dimension wikiPageExternalLink book.html.
- VC_dimension wikiPageID "305846".
- VC_dimension wikiPageRevisionID "582672694".
- VC_dimension hasPhotoCollection VC_dimension.
- VC_dimension subject Category:Computational_learning_theory.
- VC_dimension subject Category:Dimension.
- VC_dimension subject Category:Measures_of_complexity.
- VC_dimension subject Category:Statistical_classification.
- VC_dimension comment "In statistical learning theory, or sometimes computational learning theory, the VC dimension (for Vapnik–Chervonenkis dimension) is a measure of the capacity of a statistical classification algorithm, defined as the cardinality of the largest set of points that the algorithm can shatter.".
- VC_dimension label "Dimension VC".
- VC_dimension label "Dimensión VC".
- VC_dimension label "VC dimension".
- VC_dimension label "Wymiar Wapnika-Czerwonienkisa".
- VC_dimension label "Размерность Вапника — Червоненкиса".
- VC_dimension sameAs Dimensión_VC.
- VC_dimension sameAs Dimension_VC.
- VC_dimension sameAs Wymiar_Wapnika-Czerwonienkisa.
- VC_dimension sameAs m.01shr2.
- VC_dimension sameAs Q2662236.
- VC_dimension sameAs Q2662236.
- VC_dimension wasDerivedFrom VC_dimension?oldid=582672694.
- VC_dimension depiction VC1.svg.
- VC_dimension isPrimaryTopicOf VC_dimension.
