-
1
-
-
27844439373
-
A framework for learning predictive structures from multiple tasks and unlabeled data
-
R. K. Ando and T. Zhang. 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
-
A. Argyriou, T. Evgeniou, and M. Pontil. Convex multi-task feature learning. Machine Learning, 73(3):243-272, 2008.
-
(2008)
Machine Learning
, vol.73
, Issue.3
, pp. 243-272
-
-
Argyriou, A.1
Evgeniou, T.2
Pontil, M.3
-
4
-
-
0346238931
-
Task clustering and gating for Bayesian multitask learning
-
B. Bakker and T. Heskes. Task clustering and gating for bayesian multitask 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
-
5
-
-
70049106295
-
A convex formulation for learning shared structures from multiple tasks
-
J. Chen, L. Tang, J. Liu, and J. Ye. A convex formulation for learning shared structures from multiple tasks. In ICML, page 18, 2009.
-
(2009)
ICML
, pp. 18
-
-
Chen, J.1
Tang, L.2
Liu, J.3
Ye, J.4
-
6
-
-
80052677096
-
Integrating low-rank and group-sparse structures for robust multi-task learning
-
J. Chen, J. Zhou, and J. Ye. Integrating low-rank and group-sparse structures for robust multi-task learning. In KDD, pages 42-50, 2011.
-
(2011)
KDD
, pp. 42-50
-
-
Chen, J.1
Zhou, J.2
Ye, J.3
-
7
-
-
80052677096
-
Integrating low-rank and group-sparse structures for robust multi-task learning
-
J. Chen, J. Zhou, and J. Ye. Integrating low-rank and group-sparse structures for robust multi-task learning. In KDD, pages 42-50, 2011.
-
(2011)
KDD
, pp. 42-50
-
-
Chen, J.1
Zhou, J.2
Ye, J.3
-
8
-
-
34547972773
-
Boosting for transfer learning
-
W. Dai, Q. Yang, G.-R. Xue, and Y. Yu. Boosting for transfer learning. In ICML, pages 193-200, 2007.
-
(2007)
ICML
, pp. 193-200
-
-
Dai, W.1
Yang, Q.2
Xue, G.-R.3
Yu, Y.4
-
9
-
-
84857149823
-
Structured feature selection and task relationship inference for multi-task learning
-
H. Fei and J. Huan. Structured feature selection and task relationship inference for multi-task learning. In ICDM, 2011.
-
(2011)
ICDM
-
-
Fei, H.1
Huan, J.2
-
10
-
-
65449181688
-
Knowledge transfer via multiple model local structure mapping
-
J. Gao, W. Fan, J. Jiang, and J. Han. Knowledge transfer via multiple model local structure mapping. In KDD, pages 283-291, 2008.
-
(2008)
KDD
, pp. 283-291
-
-
Gao, J.1
Fan, W.2
Jiang, J.3
Han, J.4
-
11
-
-
67049161208
-
Graph-based rare category detection
-
J. He, Y. Liu, and R. D. Lawrence. Graph-based rare category detection. In ICDM, pages 833-838, 2008.
-
(2008)
ICDM
, pp. 833-838
-
-
He, J.1
Liu, Y.2
Lawrence, R.D.3
-
12
-
-
84864031047
-
Correcting sample selection bias by unlabeled data
-
J. Huang, A. J. Smola, A. Gretton, K. M. Borgwardt, and B. Schölkopf. Correcting sample selection bias by unlabeled data. In NIPS, pages 601-608, 2006.
-
(2006)
NIPS
, pp. 601-608
-
-
Huang, J.1
Smola, A.J.2
Gretton, A.3
Borgwardt, K.M.4
Schölkopf, B.5
-
13
-
-
84858783652
-
Clustered multi-task learning: A convex formulation
-
L. Jacob, F. Bach, and J.-P. Vert. Clustered multi-task learning: A convex formulation. In NIPS, pages 745-752, 2008.
-
(2008)
NIPS
, pp. 745-752
-
-
Jacob, L.1
Bach, F.2
Vert, J.-P.3
-
14
-
-
78049530300
-
Virtual metrology for run-to-run control in semiconductor manufacturing
-
P. Kang, D. Kim, H.-J. Lee, S. Doh, and S. Cho. Virtual metrology for run-to-run control in semiconductor manufacturing. Expert Systems with Applications, 38:2508-2522, 2011.
-
(2011)
Expert Systems with Applications
, vol.38
, pp. 2508-2522
-
-
Kang, P.1
Kim, D.2
Lee, H.-J.3
Doh, S.4
Cho, S.5
-
16
-
-
77956548668
-
Tree-guided group lasso for multi-task regression with structured sparsity
-
S. Kim and E. P. Xing. Tree-guided group lasso for multi-task regression with structured sparsity. In ICML, pages 543-550, 2010.
-
(2010)
ICML
, pp. 543-550
-
-
Kim, S.1
Xing, E.P.2
-
17
-
-
14344249890
-
Learning to learn with the informative vector machine
-
N. D. Lawrence and J. C. Platt. Learning to learn with the informative vector machine. In ICML, 2004.
-
(2004)
ICML
-
-
Lawrence, N.D.1
Platt, J.C.2
-
18
-
-
84856659866
-
Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery
-
H. Liu, M. Palatucci, and J. Zhang. Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery. In ICML, page 82, 2009.
-
(2009)
ICML
, pp. 82
-
-
Liu, H.1
Palatucci, M.2
Zhang, J.3
-
19
-
-
85042563162
-
Semi-supervised multitask learning
-
Q. Liu, X. Liao, and L. Carin. Semi-supervised multitask learning. In NIPS, 2007.
-
(2007)
NIPS
-
-
Liu, Q.1
Liao, X.2
Carin, L.3
-
21
-
-
70350238107
-
Virtual metrology for plasma etch using tool variables
-
S. Lynn, J. Ringwood, E. Ragnoli, S. McLoone, and N. MacGearailt. Virtual metrology for plasma etch using tool variables. In Advanced Semiconductor Manufacturing Conference, 2009.
-
(2009)
Advanced Semiconductor Manufacturing Conference
-
-
Lynn, S.1
Ringwood, J.2
Ragnoli, E.3
McLoone, S.4
MacGearailt, N.5
-
22
-
-
50649094803
-
Mapping and revising Markov logic networks for transfer learning
-
L. Mihalkova, T. N. Huynh, and R. J. Mooney. Mapping and revising markov logic networks for transfer learning. In AAAI, 2007.
-
(2007)
AAAI
-
-
Mihalkova, L.1
Huynh, T.N.2
Mooney, R.J.3
-
23
-
-
78751691438
-
Transfer learning from minimal target data by mapping across relational domains
-
L. Mihalkova and R. J. Mooney. Transfer learning from minimal target data by mapping across relational domains. In IJCAI, pages 1163-1168, 2009.
-
(2009)
IJCAI
, pp. 1163-1168
-
-
Mihalkova, L.1
Mooney, R.J.2
-
24
-
-
77956031473
-
A survey on transfer learning
-
S. J. Pan and Q. Yang. A survey on transfer learning. IEEE Trans. Knowl. Data Eng., 22(10):1345-1359, 2010.
-
(2010)
IEEE Trans. Knowl. Data Eng.
, vol.22
, Issue.10
, pp. 1345-1359
-
-
Pan, S.J.1
Yang, Q.2
-
25
-
-
77951153521
-
Semi-supervised multi-task learning with task regularizations
-
F. Wang, X. Wang, and T. Li. Semi-supervised multi-task learning with task regularizations. In ICDM, pages 562-568, 2009.
-
(2009)
ICDM
, pp. 562-568
-
-
Wang, F.1
Wang, X.2
Li, T.3
-
26
-
-
33846487387
-
Multitask learning for classification with Dirichlet process priors
-
Y. Xue, X. Liao, L. Carin, and B. Krishnapuram. Multitask 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
-
27
-
-
84863338429
-
Heterogeneous multitask learning with joint sparsity constraints
-
X. Yang, S. Kim, and E. P. Xing. Heterogeneous multitask learning with joint sparsity constraints. In NIPS, pages 2151-2159, 2009.
-
(2009)
NIPS
, pp. 2151-2159
-
-
Yang, X.1
Kim, S.2
Xing, E.P.3
-
28
-
-
80052660541
-
Multiview transfer learning with a large margin approach
-
D. Zhang, J. He, Y. Liu, L. Si, and R. D. Lawrence. Multiview transfer learning with a large margin approach. In KDD, pages 1208-1216, 2011.
-
(2011)
KDD
, pp. 1208-1216
-
-
Zhang, D.1
He, J.2
Liu, Y.3
Si, L.4
Lawrence, R.D.5
-
29
-
-
85161985386
-
Learning multiple tasks with a sparse matrix-normal penalty
-
Y. Zhang and J. G. Schneider. Learning multiple tasks with a sparse matrix-normal penalty. In NIPS, pages 2550-2558, 2010.
-
(2010)
NIPS
, pp. 2550-2558
-
-
Zhang, Y.1
Schneider, J.G.2
-
30
-
-
80053162594
-
A convex formulation for learning task relationships in multi-task learning
-
Y. Zhang and D. Y. Yeung. A convex formulation for learning task relationships in multi-task learning. In UAI, pages 733-742, 2010.
-
(2010)
UAI
, pp. 733-742
-
-
Zhang, Y.1
Yeung, D.Y.2
-
31
-
-
85162027638
-
Probabilistic multi-task feature selection
-
Y. Zhang, D. Y. Yeung, and Q. Xu. Probabilistic multi-task feature selection. In NIPS, pages 2559-2567, 2010.
-
(2010)
NIPS
, pp. 2559-2567
-
-
Zhang, Y.1
Yeung, D.Y.2
Xu, Q.3
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