The Generalized vector space model is a generalization of the vector space model used in information retrieval. Wong et al. presented an analysis of the...

Vector space model or term vector model is an algebraic model for representing text documents (or more generally, items) as vectors such that the distance...

Vector Space Model (TVSM) (literature: [1]) extends the vector space model of information retrieval by removing the constraint that the term-vectors be...

be, more generally, elements of any field. Vector spaces generalize Euclidean vectors, which allow modeling of physical quantities (such as forces and...

the class of vector generalized linear models (VGLMs) was proposed to enlarge the scope of models catered for by generalized linear models (GLMs). In particular...

generalizing the main properties of operations on the above sorts of vectors. A vector space formed by geometric vectors is called a Euclidean vector...

In statistics, a generalized additive model (GAM) is a generalized linear model in which the linear response variable depends linearly on unknown smooth...

mathematics, a generalized flag variety (or simply flag variety) is a homogeneous space whose points are flags in a finite-dimensional vector space V over a...

point, the zero vector is called the origin. Adding a fixed vector to the elements of a linear subspace (vector subspace) of a vector space produces an affine...

In machine learning, support vector machines (SVMs, also support vector networks) are supervised max-margin models with associated learning algorithms...

In statistics, a generalized linear model (GLM) is a flexible generalization of ordinary linear regression. The GLM generalizes linear regression by allowing...

query vector and document vector is represented as a scalar value. Vector space model Generalized vector space model (Enhanced) Topic-based Vector Space Model...

features in the feature vector S satisfying some condition C or, for example, distances to other recognition classes generalized by some accepting device...

Hessian matrix at these zeros. Vector calculus can also be generalized to other 3-manifolds and higher-dimensional spaces. Vector calculus is initially defined...

positive-definiteness is relaxed. Every tangent space of a pseudo-Riemannian manifold is a pseudo-Euclidean vector space. A special case used in general relativity...

This page lists some examples of vector spaces. See vector space for the definitions of terms used on this page. See also: dimension, basis. Notation...

analysis, a Banach space (/ˈbɑː.nʌx/, Polish pronunciation: [ˈba.nax]) is a complete normed vector space. Thus, a Banach space is a vector space with a metric...

model in 1943. The Potts model is related to, and generalized by, several other models, including the XY model, the Heisenberg model and the N-vector...

them. One can generalize the algebraic object that is acting on the vector space, replacing a single operator acting on a vector space with an algebra...

variance, the model is a generalized autoregressive conditional heteroskedasticity (GARCH) model. ARCH models are commonly employed in modeling financial...

and a vector numerical value (unitless), often a Euclidean vector with magnitude and direction. For example, a position vector in physical space may be...

classical Euclidean vector spaces, examples of Hilbert spaces include spaces of square-integrable functions, spaces of sequences, Sobolev spaces consisting of...

and therefore admit the structure of a metric space, including Riemannian manifolds, normed vector spaces, and graphs. In abstract algebra, the p-adic...

job for infrequent words. After the model is trained, the learned word embeddings are positioned in the vector space such that words that share common contexts...

Vector control, also called field-oriented control (FOC), is a variable-frequency drive (VFD) control method in which the stator currents of a three-phase...

Vector autoregression (VAR) is a statistical model used to capture the relationship between multiple quantities as they change over time. VAR is a type...

this observation, links have been shown between ESA and the generalized vector space model. Gabrilovich and Markovitch replied to Anderka and Stein by...

parametric model is a model in which the indexing parameter θ {\displaystyle \theta } is a vector in k {\displaystyle k} -dimensional Euclidean space, for some...

In physics, the Poynting vector (or Umov–Poynting vector) represents the directional energy flux (the energy transfer per unit area, per unit time) or...

of algebraic objects associated with a vector space. Tensors may map between different objects such as vectors, scalars, and even other tensors. There...