dc.contributor.author |
Hennig, Philipp |
de_DE |
dc.contributor.author |
Kiefel, Martin |
de_DE |
dc.date.accessioned |
2013-12-17T14:30:10Z |
|
dc.date.available |
2013-12-17T14:30:10Z |
|
dc.date.issued |
2013 |
de_DE |
dc.identifier.issn |
1532-4435 |
de_DE |
dc.identifier.uri |
http://hdl.handle.net/10900/39900 |
|
dc.language.iso |
en |
en |
dc.publisher |
Microtome Publ |
de_DE |
dc.relation.uri |
http://www.jmlr.org/papers/volume14/hennig13a/hennig13a.pdf |
de_DE |
dc.rights |
info:eu-repo/semantics/closedAccess |
|
dc.subject.ddc |
004 |
de_DE |
dc.subject.ddc |
600 |
de_DE |
dc.title |
Quasi-Newton Methods: A New Direction |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20130911224530_01471 |
de_DE |
utue.publikation.seiten |
843-865 |
de_DE |
utue.personen.roh |
Hennig, Philipp |
de_DE |
utue.personen.roh |
Kiefel, Martin |
de_DE |
dcterms.isPartOf.ZSTitelID |
Journal of Machine Learning Research |
de_DE |
dcterms.isPartOf.ZS-Volume |
14 |
de_DE |
utue.fakultaet |
Sonstige |
de_DE |