Results 31 to 40 of about 8,572,088 (368)
On the group of automorphisms of the algebra of plural numbers
The algebra of dual numbers was first introduced by V. K. Clifford in 1873. The algebras of plural and dual numbers are analogous to the algebra of complex numbers. Dual numbers form an algebra, but not a field, because only dual numbers with a real part
A. Ya. Sultanov+2 more
doaj +1 more source
Traversing Knowledge Graphs in Vector Space [PDF]
Path queries on a knowledge graph can be used to answer compositional questions such as "What languages are spoken by people living in Lisbon?". However, knowledge graphs often have missing facts (edges) which disrupts path queries.
Kelvin Guu, John Miller, Percy Liang
semanticscholar +1 more source
Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source
A Vector Space for Distributional Semantics for Entailment [PDF]
Distributional semantics creates vector-space representations that capture many forms of semantic similarity, but their relation to semantic entailment has been less clear.
James Henderson, Diana Nicoleta Popa
semanticscholar +1 more source
This study is an experimental study with quantitatively descriptive approach which aims to describe the effectiveness of learning using wondering successive method with regular competition model of type 1 among students on vector space material.
Dwi Ivayana Sari
doaj +1 more source
Wildness of the problems of classifying two-dimensional spaces of commuting linear operators and certain Lie algebras [PDF]
For each two-dimensional vector space $V$ of commuting $n\times n$ matrices over a field $\mathbb F$ with at least 3 elements, we denote by $\widetilde V$ the vector space of all $(n+1)\times(n+1)$ matrices of the form $\left[\begin{smallmatrix}A&*\\0&0 ...
Futorny, Vyacheslav+3 more
core +3 more sources
On the learnability of vector spaces
AbstractThe central topic of the paper is the learnability of the recursively enumerable subspaces of V∞/V, where V∞ is the standard recursive vector space over the rationals with (countably) infinite dimension and V is a given recursively enumerable subspace of V∞.
Harizanov, V.S., Stephan, F.
openaire +3 more sources
Performance analysis of control allocation using data‐driven integral quadratic constraints
Abstract A new method is presented for evaluating the performance of a nonlinear control allocation system within a linear control loop. To that end, a worst‐case gain analysis problem is formulated that can be readily solved by means of well‐established methods from robustness analysis using integral quadratic constraints (IQCs).
Manuel Pusch+2 more
wiley +1 more source
On Characterization of δ-Topological Vector Space
The main objective of this paper is to present the study of δ-topological vector space, δ-topological vector space are defined by using δ-open sets and δ-continuous mapping which was introduced by J.H.H. Bayati[3] in 2019. In this paper, along with basic
Shallu Sharma+2 more
doaj +1 more source
A Variational Beam Model for Failure of Cellular and Truss‐Based Architected Materials
Herein, a versatile and efficient beam modeling framework is developed to predict the nonlinear response and failure of cellular, truss‐based, and woven architected materials. It enables the exploration of their design space and the optimization of their mechanical behavior in the nonlinear regime. A variational formulation of a beam model is presented
Konstantinos Karapiperis+3 more
wiley +1 more source