Author:
Habrard Amaury,Peyrache Jean-Philippe,Sebban Marc
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Reference50 articles.
1. Balcan M-F, Blum A (2006) On a theory of learning with similarity functions. In: Proceedings of ICML’06, pp 73–80
2. Balcan M-F, Blum A, Srebro N (2008) Improved guarantees for learning via similarity functions. In: Proceedings of COLT’08, pp 287–298
3. Bartlett PL, Mendelson S (2002) Rademacher and gaussian complexities: Risk bounds and structural results. J Mach Learn Res 3:463–482
4. Becker C, Christoudias C, Fua P (2013) Non-linear domain adaptation with boosting. In: Proceedings of NIPS’13, pp 485–493
5. Ben-David S, Blitzer J, Crammer K, Kulesza A, Pereira F, Vaughan J (2010) A theory of learning from different domains. Mach Learn 79(1–2):151–175
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Review of Domain Adaptation without Target Labels;IEEE Transactions on Pattern Analysis and Machine Intelligence;2021-03-01
2. Deep multi-Wasserstein unsupervised domain adaptation;Pattern Recognition Letters;2019-07
3. References;Advances in Domain Adaption Theory;2019
4. A Deep Forest for Transductive Transfer Learning by Using a Consensus Measure;Communications in Computer and Information Science;2017-11-28