Results 31 to 40 of about 1,158,783 (289)
Embedding complete multi-partite graphs into Cartesian product of paths and cycles
Electronic Journal of Graph Theory and Applications, 2021 Graph embedding is a powerful method in parallel computing that maps a guest network G into a host network H. The performance of an embedding can be evaluated by certain parameters, such as the dilation, the edge congestion, and the wirelength.
R. Sundara Rajan +4 more
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Using the Output Embedding to Improve Language Models
, 2017 We study the topmost weight matrix of neural network language models. We show that this matrix constitutes a valid word embedding. When training language models, we recommend tying the input embedding and this output embedding.
Press, Ofir, Wolf, Lior
core +1 more source
Detecting Domain Names Generated by DGAs With Low False Positives in Chinese Domain Names
IEEE AccessAttackers are known to utilize domain generation algorithms (DGAs) to generate domain names for command and control (C&C) servers and facilitate the distribution of uniform resource locators within malicious software.
Huiju Lee +3 more
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Semi-Supervised Convolutional Neural Network for Law Advice Online
Applied Sciences, 2019 With the rapid developments of Internet technology, a mass of law cases is constantly occurring and needs to be dealt with in time. Automatic classification of law text is the most basic and critical process in the online law advice platform. Deep neural
Fen Zhao +4 more
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IEEE AccessTokenization is an important early step in natural language processing (NLP) tasks. The idea is to split the input sentence into smaller units, called tokens, for further processing.
Dorieh Alomari, Irfan Ahmad
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Extrinsic Curvature Embedding Diagrams [PDF]
, 2003 Embedding diagrams have been used extensively to visualize the properties of curved space in Relativity. We introduce a new kind of embedding diagram based on the {\it extrinsic} curvature (instead of the intrinsic curvature). Such an extrinsic curvature
C. Fronsdal +8 more
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Quantum Thetas on Noncommutative T^4 from Embeddings into Lattice
, 2007 In this paper we investigate the theta vector and quantum theta function over noncommutative T^4 from the embedding of R x Z^2. Manin has constructed the quantum theta functions from the lattice embedding into vector space (x finite group).
Dieng M Schwarz A +8 more
core +1 more source
Applied Sciences, 2020 We herein report the effect of the viscosity of a prepolymer solution on the thickness uniformity of silver-nanowire-embedded flexible transparent electrodes.
Moonsoo Chae +6 more
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Active and passive component embedding into low-cost plastic substrates aimed at smart system applications [PDF]
, 2013 The technology development for a low-cost, roll-to-roll compatible chip embedding process is described in this paper. Target applications are intelligent labels and disposable sensor patches. Two generations of the technology are depicted.
Cauwe, Maarten +5 more
core +2 more sources
Synthese, 2019 AbstractHow should we account for the contextual variability of knowledge claims? Many philosophers favour an invariantist account on which such contextual variability is due entirely to pragmatic factors, leaving no interesting context-sensitivity in the semantic meaning of ‘know that.’ I reject this invariantist division of labor by arguing that ...
openaire +2 more sources