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Foundations of Vector Retrieval
This book presents the fundamentals of vector retrieval. To this end, it delves into important data structures and algorithms that have been...
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Vector Semantics
This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics.The...
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Vector Retrieval
This chapter sets the stage for the remainder of this monograph. It explains where vectors come from, how they have come to represent data of any...
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Support Vector Machine
This chapter introduces three classes of Support Vector Machines (SVMs), kernel functions, and a fast learning algorithm—the Sequential Minimum...
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An efficient vector-borne disease prediction using SS optimization-based hybrid support vector random forest model
The transmission of infections caused by infected species or arthropoda, such as ticks, blackflies, sandflies, mosquitoes, and triatomine bugs, is...
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Vector Differential Operators
This chapter covers the mathematical objects: scalar and vector fields, and the three vector differential operators: grad, div and curl. It begins...
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About Methods of Vector Addition over Finite Fields Using Extended Vector Registers
We present optimized algorithm for vector addition over finite prime fields using the extended vector registers of modern central processing units...
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Topology-guided accelerated vector field streamline visualization
Streamline visualization is crucial for understanding 3D vector fields, and seed placement is essential for high-quality streamlines. Current...
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Conformable vector Traub’s method for solving nonlinear systems
In this paper, we present a novel conformable vector Traub’s method for solving nonlinear systems, the classical Traub’s method is special case of...
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Generation of Interpreted Vector Representations of Words Based on Supersenses
AbstractThis work presents an approach to creating interpreted vector representations of words in which each component of the vector corresponds to a...
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Knowledge vector representation of three-dimensional convex polyhedrons and reconstruction of medical images using knowledge vector
Three-dimensional image construction and reconstruction plays an important role in various applications of the real world in the field of computer...
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Support Vector Machines
Support vector machines (SVMs) are a set of related methods for supervised learning, applicable to both classification and regression problems. An...
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Cylindrical Vector Beam of the Second Order in a Microstructured Waveguide
AbstractThe propagation of vector mode of the second-order in microstructured and gradient waveguides was numerically investigated applying the RSoft...
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One Vector to Rule Them All: Key Recovery from One Vector in UOV Schemes
Unbalanced Oil and Vinegar is a multivariate signature scheme that was introduced in 1999. Most multivariate candidates for signature schemes at the...
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Support Vector Machines
Let us imagine a linearly separable training data set, characterized by only two class labels. In such a situation, the binary classification task...
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Supporting Vector Textures in a GPU Photorealistic Rendering System
AbstractImages in vector format are presented as a sequence of analytical descriptions of geometric objects. This approach allows for reproduction of...
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Online Learning Approach Based on Recursive Formulation for Twin Support Vector Machine and Sparse Pinball Twin Support Vector Machine
In this paper, an online approach was proposed for twin support vector machine motivated by online learning algorithms for double-weighted least...
