Racing trees to query partial data

Author:

Nguyen Vu-Linh,Destercke SébastienORCID,Masson Marie-Hélène,Ghassani Rashad

Funder

Agence nationale de la recherche

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference36 articles.

1. Abe N, Mamitsuka H (1998) Query learning strategies using boosting and bagging. In: Proceedings of the fifteenth international conference on machine learning (ICML), Morgan Kaufmann Pub, vol 1

2. Busa-Fekete R, Szörényi B, Weng P, Cheng W, Hüllermeier E (2014) Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm. Mach Learn 97(3):327–351

3. Cabannnes V, Rudi A, Bach F (2020) Structured prediction with partial labelling through the infimum loss. In: International conference on machine learning, PMLR, pp 1230–1239

4. Cour T, Sapp B, Jordan C, Taskar B (2009) Learning from ambiguously labeled images. In: Proceedings of the 2009 IEEE conference on computer vision and pattern recognition (CVPR), IEEE, pp 919–926

5. Cour T, Sapp B, Taskar B (2011) Learning from partial labels. J Mach Learn Res 12:1501–1536

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