1. A framework for learning predictive structures from multiple tasks and unlabeled data;R Ando;Journal of Machine Learning Research,2005
2. A bayesian/information theoretic model of learning to learn via multiple task sampling;J Baxter;Machine Learning,1997
3. Analysis of representations for domain adaptation;S Ben-David;Advances in Neural Information Processing Systems,2007
4. Exploiting task relatedness for mulitple task learning;S Ben-David;Proceedings of Computational Learning Theory (COLT),2003
5. Learning bounds for domain adaptation;J Blitzer;Advances in Neural Information Processing Systems,2008