SUPPORT VECTOR MACHINE..EXAMPLES WITH MATLAB
ebook

SUPPORT VECTOR MACHINE..EXAMPLES WITH MATLAB

Código de artículo:
E1000570911
Editorial:
AUTOEDICIONES TAGUS
Fecha edición:
Materia
Libros para Todos
ISBN:
cdlap00011301
Formato:
PDF
Idioma:
Inglés
Tipo de libro:
Ebook
DRM
Si

In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis. Given a set of training examples, each marked as belonging to one or the other of two categories, an SVM training algorithm builds a model that assigns new examples to one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall.

Artículos relacionados

Otros libros del autor