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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:PMC7304018
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An Entity of Type :
owl:Thing
, within Data Space :
wasabi.inria.fr
associated with source
document(s)
Attributes
Values
Creator
Sloot, Peter
Teixeira, João
Dongarra, Jack
Brissos, Sérgio
Kitlas Golińska, Agnieszka
Krzhizhanovskaya, Valeria
Lees, Michael
Rudnicki, Witold
Závodszky, Gábor
Mnich, Krzysztof
Polewko-Klim, Aneta
topic
covid:PMC7304018#this
is
http://vocab.deri.ie/void#inDataset
of
https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/PMC7304018
is
schema:about
of
named entity 'Bias'
named entity 'BOOTSTRAP'
named entity 'non-negative'
named entity 'data set'
named entity 'Support Vector Machine'
named entity 'overfitting'
named entity 'independent and identically distributed'
named entity 'cross validation'
named entity 'data sets'
named entity 'RNA-sequencing'
named entity 'BBC'
named entity 'BBC'
named entity 'data point'
named entity 'data sets'
named entity 'data set'
named entity 'cross validation'
named entity 'explanatory variables'
named entity 'ensemble methods'
named entity 'machine learning algorithm'
named entity 'standard deviation'
named entity 'data sets'
named entity 'BBC'
named entity 'algorithm'
named entity 'overfitted'
named entity 'cross validation'
named entity 'training set'
named entity 'overfitting'
named entity 'ensemble model'
named entity 'expected values'
named entity 'probability'
named entity 'subset'
named entity 'linear model'
named entity 'cross validation'
named entity 'array comparative genomic hybridization'
named entity 'BBC'
named entity 'feature selection'
named entity 'explanatory variables'
named entity 'Training set'
named entity 'data set'
named entity 'feature selection'
named entity 'multivariate normal distribution'
named entity 'Table 1'
named entity 'vectors'
named entity 'overfitting'
named entity 'wisdom of crowds'
named entity 'training set'
named entity 'linear models'
named entity 'gene expression'
named entity 'algorithm'
named entity 'BBC'
named entity 'cross validation'
named entity 'non-negative'
named entity 'classifiers'
named entity 'cross-validation'
named entity 'cross validation'
named entity 'kNN'
named entity 'vectors'
named entity 'machine learning algorithms'
named entity 'Data Sets'
named entity 'overfitting'
named entity 'ordinary least squares'
named entity 'design of experiments'
named entity 'cross validation'
named entity 'test statistic'
named entity 'data set'
named entity 'logistic regression'
named entity 'machine learning algorithms'
named entity 'cross validation'
named entity 'Algorithm'
named entity 'data sets'
named entity 'training set'
named entity 'cross validation'
named entity 'learning algorithms'
named entity 'randomly chosen'
named entity 'BBC'
named entity 'unbiased estimate'
named entity 'data set'
named entity 'Algorithm'
named entity 'special case'
named entity 'cross-validation'
named entity 'covariance matrices'
named entity 'data set'
named entity 'Random Forest'
named entity 'data set'
named entity 't-test'
named entity 'learning algorithms'
named entity 'Bootstrap'
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