A Framework with Randomized Encoding for a Fast Privacy Preserving Calculation of Non-linear Kernels for Machine Learning Applications in Precision Medicine

dc.contributor.author	Ünal, Ali Burak
dc.contributor.author	Akgün, Mete
dc.contributor.author	Pfeifer, Nico
dc.date.accessioned	2020-09-16T14:43:07Z
dc.date.available	2020-09-16T14:43:07Z
dc.date.issued	2019-10-11
dc.identifier.isbn	978-3-030-31577-1
dc.identifier.isbn	978-3-030-31578-8
dc.identifier.uri	http://hdl.handle.net/10900/106920
dc.language.iso	en	de_DE
dc.publisher	Cham: Springer	de_DE
dc.relation.ispartofseries	Lecture notes in computer science;11829
dc.relation.uri	http://dx.doi.org/10.1007/978-3-030-31578-8_27	de_DE
dc.subject.ddc	004	de_DE
dc.title	A Framework with Randomized Encoding for a Fast Privacy Preserving Calculation of Non-linear Kernels for Machine Learning Applications in Precision Medicine	de_DE
dc.type	BookPart	de_DE
utue.publikation.seiten	493-511	de_DE
utue.personen.roh	Ünal, Ali Burak
utue.personen.roh	Akgün, Mete
utue.personen.roh	Pfeifer, Nico
utue.publikation.buchdesbeitrags	Mu Y., Deng R., Huang X. (eds) Cryptology and Network Security. CANS 2019	de_DE