Results 41 to 50 of about 8,647,479 (387)

A Vector Space for Distributional Semantics for Entailment [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2016
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

Wildness of the problems of classifying two-dimensional spaces of commuting linear operators and certain Lie algebras [PDF]

open access: yes, 2017
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

open access: yesJournal of Computer and System Sciences, 2002
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   +2 more sources

On Characterization of δ-Topological Vector Space

open access: yesRatio Mathematica, 2021
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

Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley   +1 more source

Compositional Vector Space Models for Knowledge Base Completion [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2015
Knowledge base (KB) completion adds new facts to a KB by making inferences from existing facts, for example by inferring with high likelihood nationality(X,Y) from bornIn(X,Y).
Arvind Neelakantan   +2 more
semanticscholar   +1 more source

Data‐driven performance metrics for neural network learning

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView., 2023
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

The Linear Space of Hausdorff Continuous Interval Functions

open access: yesBiomath, 2013
In this paper we discuss the algebraic structure of the space H(X) of finite Hausdorff continuous interval functions defined on an arbitrary topological space X.
Jan Harm van der Walt
doaj   +1 more source

RISK ZONE MODELLING AND EARLY WARNING SYSTEM FOR VISCERAL LEISHMANIASIS (KALA-AZAR) DISEASE IN BIHAR, INDIA USING REMOTE SENSING AND GIS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
Visceral Leishmaniasis (VL) commonly known as Kala-azar is one of the most neglected tropical disease affecting approximately 200 million poorest populations 'at risk in 109 districts of three endemic countries namely Bangladesh, India and Nepal at ...
A. Jeyaram   +4 more
doaj   +1 more source

MADNESS IN VECTOR SPACES [PDF]

open access: yesThe Journal of Symbolic Logic, 2019
AbstractWe consider maximal almost disjoint families of block subspaces of countable vector spaces, focusing on questions of their size and definability. We prove that the minimum infinite cardinality of such a family cannot be decided in ZFC and that the “spectrum” of cardinalities of mad families of subspaces can be made arbitrarily large, in analogy
openaire   +4 more sources

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