http://rdf.ncbi.nlm.nih.gov/pubchem/reference/34331120
Outgoing Links
Predicate
Object
contentType
Journal Article
endingPage
384
issn
0893-6080
pageRange
376-384
publicationName
Neural networks : the official journal of the International Neural Network Society
startingPage
376
hasFundingAgency
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bibliographicCitation
Zhang R, Wang J, Jiang N, Li H, Wang Z. Quantum support vector machine based on regularized Newton method. Neural Netw. 2022 Jul;151():376–84. doi: 10.1016/j.neunet.2022.03.043. PMID: 35483306.
creator
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_31c9cd6369665fa912cb941b491f22c0
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0001-6291-9897
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http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0001-9269-8079
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0003-2951-688X
date
202207
identifier
https://doi.org/10.1016/j.neunet.2022.03.043
https://pubmed.ncbi.nlm.nih.gov/35483306
isPartOf
http://rdf.ncbi.nlm.nih.gov/pubchem/journal/21795
https://portal.issn.org/resource/ISSN/0893-6080
language
English
source
https://pubmed.ncbi.nlm.nih.gov/
https://www.crossref.org/
title
Quantum support vector machine based on regularized Newton method
Total number of triples:
22
.