Results 11 to 20 of about 102,869 (305)
Embedding Graphs into Embedded Graphs [PDF]
Algorithmica, 2020 A (possibly denerate) drawing of a graph $G$ in the plane is approximable by an embedding if it can be turned into an embedding by an arbitrarily small perturbation. We show that testing, whether a straight-line drawing of a planar graph $G$ in the plane is approximable by an embedding, can be carried out in polynomial time, if a desired embedding of ...
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On a class of metrics related to graph layout problems [PDF]
, 2010 We examine the metrics that arise when a finite set of points is embedded in the real line, in such a way that the distance between each pair of points is at least 1.
Theis, D O +3 more
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The Impact of Arabic Diacritization on Word Embeddings [PDF]
, 2023 Word embedding is used to represent words for text analysis. It plays an essential role in many Natural Language Processing (NLP) studies and has hugely contributed to the extraordinary developments in the field in the last few years.
Wen, X.B. +9 more
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Local procrustes for manifold embedding: a measure of embedding quality and embedding algorithms [PDF]
Machine Learning, 2009 We present the Procrustes measure, a novel measure based on Procrustes rotation that enables quantitative comparison of the output of manifold-based embedding algorithms (such as LLE (Roweis and Saul, 2000) and Isomap (Tenenbaum et al, 2000)). The measure also serves as a natural tool when choosing dimension-reduction parameters.
Yair Goldberg, Yaacov Ritov
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Theoretical Computer Science, 2017 In this paper we study {\em terminal embeddings}, in which one is given a finite metric $(X,d_X)$ (or a graph $G=(V,E)$) and a subset $K \subseteq X$ of its points are designated as {\em terminals}. The objective is to embed the metric into a normed space, while approximately preserving all distances among pairs that contain a terminal.
Michael Elkin +2 more
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Domain-Specific Word Embeddings with Structure Prediction [PDF]
, 2023 Complementary to finding good general word embeddings, an important question for representation learning is to find dynamic word embeddings, for example, across time or domain. Current methods do not offer a way to use or predict information on structure
David Lassner +7 more
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goytoom/questionnaire-embeddings: Minor update
, 2022 <p>Minor fixes - adds platform independence to embeddings extraction</p ...
Huy Vu, Suhaib Abdurahman
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Journal of Semantics, 2019 Abstract This paper presents a puzzle involving embedded attitude reports. We resolve the puzzle by arguing that attitude verbs take restricted readings: in some environments the denotation of attitude verbs can be restricted by a given proposition.
Kyle Blumberg, Ben Holguín
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The embedded entrepreneur [PDF]
European Management Review, 2009 Abstract Using comprehensive data on the Danish population, this paper examines the determinants of entrepreneurs' choices of where to locate their new ventures. Our findings suggest that entrepreneurs place much more emphasis on being close to family and friends than on regional characteristics that might influence the performance of their ventures ...
Dahl, Michael S.; id_orcid 0000-0002-3970-1483 +1 more
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