hyperplane of support

См. также в других словарях:

• Support vector machine — Support vector machines (SVMs) are a set of related supervised learning methods used for classification and regression. Viewing input data as two sets of vectors in an n dimensional space, an SVM will construct a separating hyperplane in that… …   Wikipedia

• Supporting hyperplane — is a concept in geometry. A hyperplane divides a space into two half spaces. A hyperplane is said to support a set S in Euclidean space mathbb R^n if it meets both of the following: * S is entirely contained in one of the two closed half spaces… …   Wikipedia

• Maximum-margin hyperplane — In geometry, a maximum margin hyperplane is a hyperplane which separates two clouds of points and is at equal distance from the two. The margin between the hyperplane and the clouds is maximal. See the article on Support Vector Machines for more… …   Wikipedia

• О — Обеспечение кредита (Security for credit, loan security, collateral) Обеспеченность производства запасами (number of days’, weeks’ stock) Обесценение активов (impairment of assets) …   Экономико-математический словарь

• опорная гиперплоскость — Гиперплоскость, имеющая общую точку или ряд общих точек с границей рассматриваемого множества (области), причем такая, что вся эта область лежит по одну сторону от нее. Это в каком то смысле перенесение геометрического понятия касательной к… …   Справочник технического переводчика

• Convexity in economics — Economics …   Wikipedia

• Supervised learning — is a machine learning technique for learning a function from training data. The training data consist of pairs of input objects (typically vectors), and desired outputs. The output of the functioncan be a continuous value (called regression), or… …   Wikipedia

• Margin classifier — 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… …   Wikipedia

• Decision boundary — In a statistical classification problem with two classes, a decision boundary or decision surface is a hypersurface that partitions the underlying vector space into two sets, one for each class. The classifier will classify all the points on one… …   Wikipedia

• Hilbert space — For the Hilbert space filling curve, see Hilbert curve. Hilbert spaces can be used to study the harmonics of vibrating strings. The mathematical concept of a Hilbert space, named after David Hilbert, generalizes the notion of Euclidean space. It… …   Wikipedia

• Vector space — This article is about linear (vector) spaces. For the structure in incidence geometry, see Linear space (geometry). Vector addition and scalar multiplication: a vector v (blue) is added to another vector w (red, upper illustration). Below, w is… …   Wikipedia