Projects: Support Vector Machines bei stochastischer Abhaengigkeit (German) Support Vector Machines under stochastic dependency
Group by: Year | Person Jump to: 2016 Number of items: 1. 2016
Christmann, Andreas ; Zhou, Ding-Xuan:
Learning rates for the risk of kernel-based quantile regression estimators in additive models. In: Analysis and Applications. Vol. 14 (2016) Issue 3 . - pp. 449-477. DOI: https://doi.org/10.1142/S0219530515500050 To include this list on the University's CMS, please refer to this help page.
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