Strohriegl, K. und Christmann, A. (2018) On Robustness and Consistency of Support Vector Machines for non-i.i.d. Observations [cd]. Universität Bayreuth. doi:urn:nbn:de:bvb:703-epub-3773-9.
Chicago Manual of Style 17th edition (full note)Strohriegl, Katharina, und Andreas Christmann. „On Robustness and Consistency of Support Vector Machines for non-i.i.d. Observations“. Cd. Universität Bayreuth, [2018?], Universität Bayreuth, [2018?]. https://doi.org/urn:nbn:de:bvb:703-epub-3773-9.
American Psychological Association 7th editionStrohriegl, K., & Christmann, A. (ca. 2018). On Robustness and Consistency of Support Vector Machines for non-i.i.d. Observations [Universität Bayreuth; Cd]. https://doi.org/urn:nbn:de:bvb:703-epub-3773-9
Modern Language Association 9th editionStrohriegl, K., und A. Christmann. On Robustness and Consistency of Support Vector Machines for non-i.i.d. Observations. cd, Universität Bayreuth, 2018, https://doi.org/urn:nbn:de:bvb:703-epub-3773-9.
ISO-690 (author-date, Deutsch)STROHRIEGL, Katharina und Andreas CHRISTMANN, 2018. On Robustness and Consistency of Support Vector Machines for non-i.i.d. Observations. Bayreuth: Universität Bayreuth