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Vector space

Establishing Relationships between Emotion Taxonomies Using the Vector Space Model

Establishing Relationships between Emotion Taxonomies Using the Vector Space Model

... Abstract—Due to different aspects that emotion-oriented re- search looks to capture, the emotion taxonomy used often differs among research efforts. Therefore, it is hard to coordinate the research efforts using ...

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Definition: If X is any vector space, a norm on X is any mapping ρ:X→ℜ that satisfies

Definition: If X is any vector space, a norm on X is any mapping ρ:X→ℜ that satisfies

... A Vector space is a set X together with two ...is vector addition which associated any two elements x and y of X a third element denoted by x + ...

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Combining metric and vector space data mining methods for screening CFTR rescuers in cystic fibrosis

Combining metric and vector space data mining methods for screening CFTR rescuers in cystic fibrosis

... the vector space method (already a widely tested process), a decision was made to perform several cross validations using the random forest method; additionally, changes to the initial input data were also ...

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The Laplace-Stieltjes transformation on ordered topological vector space of generalized functions

The Laplace-Stieltjes transformation on ordered topological vector space of generalized functions

... linear space of all continuous linear mappings of E into F is bounded for the topology of pointwise convergence if and only if it is bounded for the G -topology corresponding to the class of all complete, bounded, ...

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Neutrosophic Vector Spaces

Neutrosophic Vector Spaces

... Definition 2.28. Let V(I) be a weak neutrosophic vec- tor space over a field K(I). The number of elements in the basis for V(I) is called the dimension of V(I) and it is de- noted by dim ( ( )) s V I . If the ...

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Quasi Contraction and Fixed Points

Quasi Contraction and Fixed Points

... In this note, we establish and improve some results on fixed point theory in topological vector spaces. As a generalization of contraction maps, the concept of quasi contraction multivalued maps on a topological ...

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HISTORICAL ASPECTS OF THE DISCOVERY OF THE EULER CHARACTERISTIC AND SOME OF ITS DEVELOPMENTS IN MODERN TOPOLOGY

HISTORICAL ASPECTS OF THE DISCOVERY OF THE EULER CHARACTERISTIC AND SOME OF ITS DEVELOPMENTS IN MODERN TOPOLOGY

... important vector bundle over a manifold M which is its tangent ...base space is the same as the vector space which gives the fiber) that there is a nowhere-vanishing vector field on the ...

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Open HardyLittlewoodBohnenblustHille multilinear inequalities and Peano curves on topological vector spaces

Open HardyLittlewoodBohnenblustHille multilinear inequalities and Peano curves on topological vector spaces

... topological vector space; an F -norm on a vector space X is a functional k · k : X → [0, ∞) satisfying, for all x, y ∈ X and λ ∈ K, the following properties kx + yk ≤ kxk + kyk, kλxk ≤ kxk if ...

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Transinformação  vol.29 número3

Transinformação vol.29 número3

... Two algorithms were used in the experiment carried out in the present study, and the vector space model for document representation was used to classify the documents based on previously established classes ...

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Semantic Based Cluster Content Discovery in Description First Clustering Algorithm

Semantic Based Cluster Content Discovery in Description First Clustering Algorithm

... In the field of data analytics grouping of like documents in textual data is a serious problem. A lot of work has been done in this field and many algorithms have purposed. One of them is a category of algorithms which ...

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Relativistic Dynamical Theory for Test Particles and Photons in Static Spherically Symmetric Gravitational Fields

Relativistic Dynamical Theory for Test Particles and Photons in Static Spherically Symmetric Gravitational Fields

... from vector analysis, it is well known that dS (r, θ, φ) is the most fundamental quantity from which all vector and scalar quantities required for the formulation of the dynamical theory of classical ...

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J. Aerosp. Technol. Manag.  vol.6 número4

J. Aerosp. Technol. Manag. vol.6 número4

... the team members analytically and numerically studied the de-orbiting problem for a satellite equipped with an inlatable balloon for a large range of orbital inclinations. hey developed a new de-orbiting control ...

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Mat. Res.  vol.15 número6

Mat. Res. vol.15 número6

... output vector contains not only the output thickness and interstand tension, but also the roll force; b) this model offers the possibility of performing disturbance analysis in process variables, such as mill ...

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Susana Raquel Carvalho Ferreira

Susana Raquel Carvalho Ferreira

... a vector bundle over a compact Riemann surface maps are required to be linear, and if we consider principal G-bundles we require smoothness (or holomorphy) and equivariance under the ...

137

Direct Torque Control of Induction Motors with Fuzzy Minimization Torque Ripple

Direct Torque Control of Induction Motors with Fuzzy Minimization Torque Ripple

... Interesting results are, as it is shown in figure (7), the torque pulsations in the case of fuzzy DTC with space vector modulation are smaller than in the case of classical DTC with fuzzy hysteresis in ...

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New Control Strategies for a Two-Leg Four-Switch STATCOM

New Control Strategies for a Two-Leg Four-Switch STATCOM

... The combinations of the states of the switches originate four different vectors and the related parameters in the αβ plane are given in Table 1 and 2. These vectors are phase shifted of π/2 from each other. Using the ...

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DESIGN AND DEVELOPMENT OF AN IMAGE BASED PLANT IDENTIFICATION SYSTEM USING LEAF

DESIGN AND DEVELOPMENT OF AN IMAGE BASED PLANT IDENTIFICATION SYSTEM USING LEAF

... ‘Global Vector’. The ‘Global Vector’ includes area, perimeter, aspect ratio, image length, image width, image top width, image bottom width and Quad Centroid Distance Variation ...

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A parallel algorithm for finding small sets of genes that are enough to distinguish two biological states

A parallel algorithm for finding small sets of genes that are enough to distinguish two biological states

... Due to the great number of potential feature sets, a parallel implementation is a good option for reducing the procedure execution time. This paper presents a parallel solution of GCLASS and shows some performance ...

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Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions

Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions

... We study the joint determination of the lag length, the dimension of the cointegrating space and the rank of the matrix of short-run parameters of a vector autoregressive (VAR) model using model selection ...

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