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Metadata
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owl:sameAs
Inference Rule:
b3s
b3sifp
dbprdf-label
facets
http://dbpedia.org/resource/inference/rules/dbpedia#
http://dbpedia.org/resource/inference/rules/opencyc#
http://dbpedia.org/resource/inference/rules/umbel#
http://dbpedia.org/resource/inference/rules/yago#
http://dbpedia.org/schema/property_rules#
http://www.ontologyportal.org/inference/rules/SUMO#
http://www.ontologyportal.org/inference/rules/WordNet#
http://www.w3.org/2002/07/owl#
ldp
oplweb
skos-trans
virtrdf-label
None
About:
covid:PMC7148254
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An Entity of Type :
owl:Thing
, within Data Space :
covidontheweb.inria.fr
associated with source
document(s)
Attributes
Values
Creator
Castells, Pablo
Kumar, Mohit
Maji, Subhadeep
Martins, Flávio
Patel, Priyank
Thakarar, Bharat
Tripathi, Krishna
Ferro, Nicola
Jose, Joemon
Magalhães, João
Silva, Mário
Yilmaz, Emine
is
schema:about
of
named entity 'Flipkart'
named entity 'generative model'
named entity 'shopping cart'
named entity 'algorithm'
named entity 'search queries'
named entity 'E-commerce'
named entity 'lower bound'
named entity 'e-commerce'
named entity 'projected gradient descent'
named entity 'similarity measure'
named entity 'syntactic'
named entity 'log-likelihood'
named entity 'latent variables'
named entity 'unigram'
named entity 'doubly stochastic matrix'
named entity 'statistically significant'
named entity 'validation set'
named entity 'art model'
named entity 'golden set'
named entity 'Expectation Maximization'
named entity 'click-through rate'
named entity 'UMM'
named entity 'auto-encoder'
named entity 'Multinomial Logistic Regression'
named entity 'marginal distributions'
named entity 'empirical probabilities'
named entity 'click-through rate'
named entity 'mixture model'
named entity 'empirical evidence'
named entity 'joint probability'
named entity 'e-commerce'
named entity 'data set'
named entity 'latent variable'
named entity 'e-commerce'
named entity 'user intent'
named entity 'data set'
named entity 'stainless steel'
named entity 'fastText'
named entity '10 million'
named entity 'Flipkart'
named entity 'LSTM'
named entity 'posterior probability'
named entity 'posterior distribution'
named entity 'probability'
named entity 'Flipkart'
named entity 'long-tailed distribution'
named entity 'inference'
named entity 'syntactic'
named entity 'size of the vocabulary'
named entity 'forward-backward algorithm'
named entity 'Flipkart'
named entity 'E-commerce'
named entity 'Multinomial'
named entity 'sparsity'
named entity 'data set'
named entity 'sampling'
named entity 'posterior distributions'
named entity 'attribute-value pairs'
named entity 'semi-supervised'
named entity 'unigram'
named entity '80/20'
named entity 'golden set'
named entity 'Flipkart'
named entity 'cross-validation'
named entity 'Google shopping'
named entity 'discrete random variables'
named entity 'randomly selected'
named entity 'ith'
named entity 'CTR'
named entity 'latent variable'
named entity 'CTR'
named entity 'click-through rate'
named entity 'CTR'
named entity 'e-commerce'
named entity 'Google shopping'
named entity 'elastic-net'
named entity 'bigram'
named entity 'posterior distribution'
named entity 'search engines'
named entity 'latent variable'
named entity 'data set'
named entity 'observed variables'
named entity 'performance metric'
named entity 'query understanding'
named entity 'UMM'
named entity 'Flipkart'
named entity 'heat map'
named entity 'sampling'
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