Spontaneous and stimulated transitions in the atoms embedded into hyperbolic metamaterials
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سال
: 2014شناسه الکترونیک: 10.1109/ICPR.2014.428
کلیدواژه(گان): graph theory,learning (artificial intelligence),collective inference,good classification accuracy,graph construction,graph-based algorithms,quadratic time complexity,semi-supervised learning techniques,tabular data,weighted graph,Accuracy,Complex networks,Complexity theory,Inference algorithms,Joining processes,Laplace equations,Symmetric matrices,complex network,graph construction,semi-supervised learning classification
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آمار بازدید
Spontaneous and stimulated transitions in the atoms embedded into hyperbolic metamaterials
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contributor author | Melnikov, L.A. , Ryabinina, M.V. , Nefedov, I.S. | |
date accessioned | 2020-03-12T20:44:07Z | |
date available | 2020-03-12T20:44:07Z | |
date issued | 2014 | |
identifier other | 6886413.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1023555 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Spontaneous and stimulated transitions in the atoms embedded into hyperbolic metamaterials | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8148391 | |
subject keywords | graph theory | |
subject keywords | learning (artificial intelligence) | |
subject keywords | collective inference | |
subject keywords | good classification accuracy | |
subject keywords | graph construction | |
subject keywords | graph-based algorithms | |
subject keywords | quadratic time complexity | |
subject keywords | semi-supervised learning techniques | |
subject keywords | tabular data | |
subject keywords | weighted graph | |
subject keywords | Accuracy | |
subject keywords | Complex networks | |
subject keywords | Complexity theory | |
subject keywords | Inference algorithms | |
subject keywords | Joining processes | |
subject keywords | Laplace equations | |
subject keywords | Symmetric matrices | |
subject keywords | complex network | |
subject keywords | graph construction | |
subject keywords | semi-supervised learning classification | |
identifier doi | 10.1109/ICPR.2014.428 | |
journal title | aser Optics, 2014 International Conference | |
filesize | 95988 | |
citations | 0 |