-
1
-
-
27844439373
-
A framework for learning predictive structures from multiple tasks and unlabeled data
-
Ando, R.K., Zhang, T.: A framework for learning predictive structures from multiple tasks and unlabeled data. Journal of Machine Learning Research 6, 1817-1853 (2005)
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 1817-1853
-
-
Ando, R.K.1
Zhang, T.2
-
2
-
-
55149088329
-
Convex multi-task feature learning
-
Argyriou, A., Evgeniou, T., Pontil, M.: Convex multi-task feature learning. Machine Learning (2008), http://www.springerlink.com/content/ 161105027v344n03
-
(2008)
Machine Learning
-
-
Argyriou, A.1
Evgeniou, T.2
Pontil, M.3
-
3
-
-
57749097129
-
-
Advances in Neural Information Processing Systems
-
Argyriou, A., Micchelli, C.A., Pontil, M., Ying, Y.: A spectral regularization framework for multi-task structure learning. Advances in Neural Information Processing Systems (2007)
-
(2007)
A spectral regularization framework for multi-task structure learning
-
-
Argyriou, A.1
Micchelli, C.A.2
Pontil, M.3
Ying, Y.4
-
5
-
-
0346238931
-
Task clustering and gating for Bayesian multi-task learning
-
Bakker, B., Heskes, T.: Task clustering and gating for Bayesian multi-task learning. Journal of Machine Learning Research 4, 83-99 (2003)
-
(2003)
Journal of Machine Learning Research
, vol.4
, pp. 83-99
-
-
Bakker, B.1
Heskes, T.2
-
7
-
-
0031189914
-
Multi-task learning
-
Caruana, R.: Multi-task learning. Machine Learning 28, 41-75 (1997)
-
(1997)
Machine Learning
, vol.28
, pp. 41-75
-
-
Caruana, R.1
-
8
-
-
21844456299
-
Learning multiple tasks with kernel methods
-
Evgeniou, T., Micchelli, C.A., Pontil, M.: Learning multiple tasks with kernel methods. Journal of Machine Learning Research 6, 615-637 (2005)
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 615-637
-
-
Evgeniou, T.1
Micchelli, C.A.2
Pontil, M.3
-
9
-
-
0034853839
-
A rank minimization heuristic with application to minimum order system approximation
-
Fazel, M., Hindi, H., Boyd, S.P.: A rank minimization heuristic with application to minimum order system approximation. In: Proceedings, American Control Conference, pp. 4734-4739 (2001)
-
(2001)
Proceedings, American Control Conference
, pp. 4734-4739
-
-
Fazel, M.1
Hindi, H.2
Boyd, S.P.3
-
11
-
-
84898932317
-
Maximum-margin matrix factorization
-
MIT Press, Cambridge
-
Srebro, N., Rennie, J.D.M., Jaakkola, T.: Maximum-margin matrix factorization. In: Advances in Neural Information Processing Systems, vol. 17, pp. 1329-1336. MIT Press, Cambridge (2005)
-
(2005)
Advances in Neural Information Processing Systems
, vol.17
, pp. 1329-1336
-
-
Srebro, N.1
Rennie, J.D.M.2
Jaakkola, T.3
-
13
-
-
34547994508
-
Multi-task reinforcement learning: A hierarchical Bayesian approach
-
Wilson, A., Fern, A., Ray, S., Tadepalli, P.: Multi-task reinforcement learning: a hierarchical Bayesian approach. In: Proceedings of the Twenty-Fourth International Conference on Machine Learning, pp. 1015-1022 (2007)
-
(2007)
Proceedings of the Twenty-Fourth International Conference on Machine Learning
, pp. 1015-1022
-
-
Wilson, A.1
Fern, A.2
Ray, S.3
Tadepalli, P.4
-
14
-
-
33846487387
-
Multi-task learning for classification with Dirichlet process priors
-
Xue, Y., Liao, X., Carin, L., Krishnapuram, B.: Multi-task learning for classification with Dirichlet process priors. Journal of Machine Learning Research 8, 35-63 (2007)
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 35-63
-
-
Xue, Y.1
Liao, X.2
Carin, L.3
Krishnapuram, B.4
|