Examples of using Vector space in English and their translations into Indonesian
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Colloquial
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Ecclesiastic
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Computer
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Ecclesiastic
Not a vector space.
Vector space model is a special case of.
Still not a vector space.
Vector Space Model(VSM) is a spatial representation of text documents.
One method for representing a text is Vector Space model(VSM).
The real line is a vector space over the field R of real numbers(that is, over itself) of dimension 1.
One method for representing a text is Vector Space model(VSM).
Is there an infinite dimensional vector space H with bounded linear operator from H onto H which preserves the inner product?
The underlying model for text representation is the Vector Space Model(VSM).
In general, if K is a field and V is a vector space over K, then scalar multiplication is a function from K× V to V.
In such cases the solutions can be treated as vectors, and the set of solutions is a vector space in the following sense.
In the study of Linear Algebra we learn that every vector space has a basis and every vector is a linear combination of members of the basis.
The above two proofs, by invoking the Cauchy criterion or the linearity of the limit,also work in any other normed vector space or any(additively written) abelian group.
In the study of Linear Algebra we learn that every vector space has a basis and every vector is a linear combination of members of the basis.
As the name suggests the space blends a topological structure(a uniform structure to be precise)with the algebraic concept of a vector space.
In terms of linear algebra,the solution set of this differential equation spans a vector space with dimension equal to the order of the differential equation.
This study discusses the implementation of information retrieval to find andmatch the Indonesian language text documents using the Vector Space Retrieval Model.
In a vector space, the set of scalars forms a field and acts on the vectors by scalar multiplication, subject to certain axioms such as the distributive law.
In mathematics,scalar multiplication is one of the basic operations defining a vector space in linear algebra or more generally, a module in abstract algebra.
Vector space model or term vector model is an algebraic model for representing text documents(and any objects, in general) as vectors of identifiers.
They can also be addressed via machine learning approaches whichtransform the original time series into a feature vector space, where the learning algorithm finds patterns that have predictive power.
A vector space is a collection of objects called vectors, which may be added together and multiplied("scaled") by numbers, called scalars in this context.
In general, if K is a field and V is a vector space over K, then scalar multiplication is a function from K× V to V. The result of applying this function to c in K and v in V is denoted cv.
Vector space model or term vector model is an algebraic model for representing text documents(and any objects, in general) as vectors of identifiers, such as, for example, index terms.
A vector space is a mathematical structure formed by a collection of elements called vectors, which may be added together and multiplied by numbers, called scalars in this context.
In the vector space model, documents and queries are represented as vectors in a vector space spanned by the index terms, and uncertainty is modelled by considering geometric similarity.
In a vector space any two vectors can be added together to give another vector, and vectors can be multiplied by numbers to give“shorter” or“longer” vectors. .
Thus, a module, like a vector space, is an additive abelian group; a product is defined between elements of the ring and elements of the module that is distributive over both parameters and is compatible with the ring multiplication.
Thus, a module, like a vector space, is an additive abelian group; a product is defined between elements of the ring and elements of the module that is distributive over the addition operation of each parameter and is compatible with the ring multiplication.