摘要: This paper reviews several recent multi-task learning algorithms in a general framework. Interestingly, the framework establishes connection to collaborative filtering using low-rank matrix approximation. suggests build more nonparametric approach preference that additionally explores content features of items.
berkeley.edu参考文章(11)
Daniel A. Keim, On Knowledge Discovery and Data Mining ,(1997)
Yee Whye Teh, Matthias Seeger, Michael I Jordan, None, Semiparametric Latent Factor Models international conference on artificial intelligence and statistics. ,(2005)
Jasson D. M. Rennie, Nathan Srebro, Fast maximum margin matrix factorization for collaborative prediction Proceedings of the 22nd international conference on Machine learning - ICML '05. pp. 713- 719 ,(2005) , 10.1145/1102351.1102441
BJ Bakker, TM Heskes, Task clustering and gating for bayesian multitask learning Journal of Machine Learning Research. ,vol. 4, pp. 83- 99 ,(2003) , 10.1162/153244304322765658
Tommi S. Jaakkola, Nathan Srebro, Jason Rennie, Maximum-Margin Matrix Factorization neural information processing systems. ,vol. 17, pp. 1329- 1336 ,(2004)
Rie Kubota Ando, Tong Zhang, Peter Bartlett, A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data Journal of Machine Learning Research. ,vol. 6, pp. 1817- 1853 ,(2005) , 10.5555/1046920.1194905
Jian Zhang, Zoubin Ghahramani, Yiming Yang, None, Learning Multiple Related Tasks using Latent Independent Component Analysis neural information processing systems. ,vol. 18, pp. 1585- 1592 ,(2005)
Theodoros Evgeniou, Massimiliano Pontil, Regularized multi--task learning knowledge discovery and data mining. pp. 109- 117 ,(2004) , 10.1145/1014052.1014067
Kai Yu, Volker Tresp, Anton Schwaighofer, Learning Gaussian processes from multiple tasks Proceedings of the 22nd international conference on Machine learning - ICML '05. pp. 1012- 1019 ,(2005) , 10.1145/1102351.1102479
The em algorithm for kernel matrix completion with auxiliary data Journal of Machine Learning Research. ,vol. 4, pp. 67- 81 ,(2003) , 10.1162/153244304322765649