Optimistic bounds for multi-output learning
We investigate the challenge of multi-output learning, where the goal is to learn a vector-
valued function based on a supervised data set. This includes a range of important problems …
valued function based on a supervised data set. This includes a range of important problems …
Plug-in methods in classification
E Chzhen - 2019 - theses.hal.science
This manuscript studies several problems of constrained classification. In this frameworks of
classification our goal is to construct an algorithm which performs as good as the best …
classification our goal is to construct an algorithm which performs as good as the best …