dc.contributor.author |
Dayan, Peter |
|
dc.contributor.author |
Éltető, Noémi |
|
dc.date.accessioned |
2023-11-23T13:46:57Z |
|
dc.date.available |
2023-11-23T13:46:57Z |
|
dc.date.issued |
2022 |
|
dc.identifier.issn |
1553-734X |
|
dc.identifier.uri |
http://hdl.handle.net/10900/148007 |
|
dc.language.iso |
en |
de_DE |
dc.publisher |
San Francisco : Public Library Science |
de_DE |
dc.relation.uri |
http://dx.doi.org/10.1371/journal.pcbi.1009866 |
de_DE |
dc.subject.ddc |
570 |
de_DE |
dc.subject.ddc |
600 |
de_DE |
dc.title |
Tracking human skill learning with a hierarchical Bayesian sequence model |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20230925000000_00850 |
|
utue.personen.roh |
Elteto, Noemi |
|
utue.personen.roh |
Nemeth, Dezso |
|
utue.personen.roh |
Janacsek, Karolina |
|
utue.personen.roh |
Dayan, Peter |
|
dcterms.isPartOf.ZSTitelID |
Plos Computational Biology |
de_DE |
dcterms.isPartOf.ZS-Issue |
11 |
de_DE |
dcterms.isPartOf.ZS-Volume |
18 |
de_DE |
utue.fakultaet |
08 Zentrale, interfakultäre und fakultätsübergreifende Einrichtungen |
de_DE |