Boosted multi-task learning

Author:

Chapelle Olivier,Shivaswamy Pannagadatta,Vadrevu Srinivas,Weinberger Kilian,Zhang Ya,Tseng Belle

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference38 articles.

1. Argyriou, A., Evgeniou, T., & Pontil, M. (2007). Multi-task feature learning. In Advances in neural information processing systems (Vol. 19). Cambridge: MIT Press.

2. Argyriou, A., Evgeniou, T., & Pontil, M. (2008). Convex multi-task feature learning. Machine Learning, 73(3), 243–272.

3. Bakker, B., & Heskes, T. (2003). Task clustering and gating for Bayesian multitask learning. Journal of Machine Learning Research, 4, 83–99. doi: 10.1162/153244304322765658 .

4. Ben-David, S., & Schuller, R. (2003). Exploiting task relatedness for multiple task learning. In 16th annual conference on learning theory (pp. 567–580).

5. Bian, J., Li, X., Li, F., Zheng, Z., & Zha, H. (2010). Ranking specialization for web search: a divide-and-conquer approach by using topical ranksvm. In WWW’10: proceedings of the 19th international World Wide Web conference.

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