eprintid: 13428
rev_number: 3
eprint_status: archive
userid: 1
dir: disk0/00/01/34/28
datestamp: 2012-06-13 15:13:40
lastmod: 2012-06-13 15:13:40
status_changed: 2012-08-15 09:06:00
type: HD.PhdThesisAb
metadata_visibility: show
creators_name: Becker, Natalia
title: Classification and Feature Selection Using Penalised Support Vector Machines: Development of a Flexible Classifier  with Applications  to High-Dimensional Breast Cancer Data
ispublished: pub
subjects: 610
divisions: 51001
adv_faculty: af-05
keywords: Deutsches Krebsforschungszentrum (DKFZ)
abstract_translated_lang: ger
date: 2011
date_type: published
ppn_swb: -
own_urn: urn:nbn:de:bsz:16-opus-134281
date_accepted: 2011-11-04
advisor: HASH(0x556120da0d00)
language: eng
bibsort: BECKERNATACLASSIFICA2011
full_text_status: public
citation:   Becker, Natalia  (2011) Classification and Feature Selection Using Penalised Support Vector Machines: Development of a Flexible Classifier with Applications to High-Dimensional Breast Cancer Data.  [Abstract of a medical dissertation]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/13428/1/Becker.pdf