Matches in SemOpenAlex for { <https://semopenalex.org/work/W2384392227> ?p ?o ?g. }
Showing items 1 to 66 of
66
with 100 items per page.
- W2384392227 abstract "Manifold learning is a newer research direction of machine learning and congnitive science in recent years,its essence is to find out the low dimensional manifold hidden in high dimensional space though learning discrete samples,and get the hidden dimensional structure of the high dimensional data to realize non-linear dimension reduction.The paper introduced some manifold learning algorithms,summarized some problems of manifold learning and its research status,and discussed the prospect of manifold learning." @default.
- W2384392227 created "2016-06-24" @default.
- W2384392227 creator A5046300088 @default.
- W2384392227 date "2009-01-01" @default.
- W2384392227 modified "2023-09-23" @default.
- W2384392227 title "Problems and Analysis in Manifold Learning" @default.
- W2384392227 hasPublicationYear "2009" @default.
- W2384392227 type Work @default.
- W2384392227 sameAs 2384392227 @default.
- W2384392227 citedByCount "1" @default.
- W2384392227 countsByYear W23843922272014 @default.
- W2384392227 crossrefType "journal-article" @default.
- W2384392227 hasAuthorship W2384392227A5046300088 @default.
- W2384392227 hasConcept C111919701 @default.
- W2384392227 hasConcept C119857082 @default.
- W2384392227 hasConcept C127413603 @default.
- W2384392227 hasConcept C151876577 @default.
- W2384392227 hasConcept C153120616 @default.
- W2384392227 hasConcept C154945302 @default.
- W2384392227 hasConcept C202444582 @default.
- W2384392227 hasConcept C2778572836 @default.
- W2384392227 hasConcept C33676613 @default.
- W2384392227 hasConcept C33923547 @default.
- W2384392227 hasConcept C41008148 @default.
- W2384392227 hasConcept C529865628 @default.
- W2384392227 hasConcept C70518039 @default.
- W2384392227 hasConcept C78519656 @default.
- W2384392227 hasConceptScore W2384392227C111919701 @default.
- W2384392227 hasConceptScore W2384392227C119857082 @default.
- W2384392227 hasConceptScore W2384392227C127413603 @default.
- W2384392227 hasConceptScore W2384392227C151876577 @default.
- W2384392227 hasConceptScore W2384392227C153120616 @default.
- W2384392227 hasConceptScore W2384392227C154945302 @default.
- W2384392227 hasConceptScore W2384392227C202444582 @default.
- W2384392227 hasConceptScore W2384392227C2778572836 @default.
- W2384392227 hasConceptScore W2384392227C33676613 @default.
- W2384392227 hasConceptScore W2384392227C33923547 @default.
- W2384392227 hasConceptScore W2384392227C41008148 @default.
- W2384392227 hasConceptScore W2384392227C529865628 @default.
- W2384392227 hasConceptScore W2384392227C70518039 @default.
- W2384392227 hasConceptScore W2384392227C78519656 @default.
- W2384392227 hasOpenAccess W2384392227 @default.
- W2384392227 hasRelatedWork W1481374273 @default.
- W2384392227 hasRelatedWork W1521224934 @default.
- W2384392227 hasRelatedWork W2012653057 @default.
- W2384392227 hasRelatedWork W2096022469 @default.
- W2384392227 hasRelatedWork W2112684860 @default.
- W2384392227 hasRelatedWork W2120368313 @default.
- W2384392227 hasRelatedWork W2208835321 @default.
- W2384392227 hasRelatedWork W2233322082 @default.
- W2384392227 hasRelatedWork W2348172339 @default.
- W2384392227 hasRelatedWork W2362829263 @default.
- W2384392227 hasRelatedWork W2365774975 @default.
- W2384392227 hasRelatedWork W2373698459 @default.
- W2384392227 hasRelatedWork W2375518579 @default.
- W2384392227 hasRelatedWork W2375864824 @default.
- W2384392227 hasRelatedWork W2380477800 @default.
- W2384392227 hasRelatedWork W2383239174 @default.
- W2384392227 hasRelatedWork W2517823715 @default.
- W2384392227 hasRelatedWork W2573981081 @default.
- W2384392227 hasRelatedWork W2885872256 @default.
- W2384392227 hasRelatedWork W2978531943 @default.
- W2384392227 isParatext "false" @default.
- W2384392227 isRetracted "false" @default.
- W2384392227 magId "2384392227" @default.
- W2384392227 workType "article" @default.