-
1
-
-
64149107285
-
A new approach to collaborative filtering: Operator estimation with spectral regularization
-
ABERNETHY, J., BACH, F., EVGENIOU, T., AND VERT, J.-P. 2009. A new approach to collaborative filtering: Operator estimation with spectral regularization. J. Mach. Learn. Res. 10, 803-826.
-
(2009)
J. Mach. Learn. Res
, vol.10
, pp. 803-826
-
-
Abernethy, J.1
Bach, F.2
Evgeniou, T.3
Vert, J.-P.4
-
3
-
-
27844439373
-
A framework for learning predictive structures from multiple tasks and unlabeled data
-
ANDO, R. K. AND ZHANG, T. 2005. A framework for learning predictive structures from multiple tasks and unlabeled data. J. Mach. Learn. Res. 6, 1817-1853.
-
(2005)
J. Mach. Learn. Res
, vol.6
, pp. 1817-1853
-
-
Ando, R.K.1
Zhang, T.2
-
4
-
-
55149088329
-
Convex multi-task feature learning
-
ARGYRIOU, A., EVGENIOU, T., AND PONTIL, M. 2008. Convex multi-task feature learning. Mach. Learn. 73, 3, 243-272.
-
(2008)
Mach. Learn
, vol.73
, Issue.3
, pp. 243-272
-
-
Argyriou, A.1
Evgeniou, T.2
Pontil, M.3
-
5
-
-
80052253522
-
Convex optimization with sparsity-inducing norms
-
S. Sra, S. Nowozin, and S. J. Wright, Eds., MIT Press
-
BACH, F., JENATTON, R., MAIRAL, J., AND OBOZINSKI, G. 2011. Convex optimization with sparsity-inducing norms. In Optimization for Machine Learning. S. Sra, S. Nowozin, and S. J. Wright, Eds., MIT Press.
-
(2011)
Optimization for Machine Learning
-
-
Bach, F.1
Jenatton, R.2
Mairal, J.3
Obozinski, G.4
-
6
-
-
0346238931
-
Task clustering and gating for Bayesian multitask learning
-
BAKKER, B. AND HESKES, T. 2003. Task clustering and gating for Bayesian multitask learning. J. Mach. Learn. R. 4, 83-99.
-
(2003)
J. Mach. Learn. R
, vol.4
, pp. 83-99
-
-
Bakker, B.1
Heskes, T.2
-
7
-
-
85014561619
-
A fast iterative shrinkage-thresholding algorithm for linear inverse problems
-
BECK, A. AND TEBOULLE, M. 2009. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM J. Imag. Sci. 2, 183-202.
-
(2009)
SIAM J. Imag. Sci
, vol.2
, pp. 183-202
-
-
Beck, A.1
Teboulle, M.2
-
10
-
-
56049124852
-
An improved multi-task learning approach with applications in medical diagnosis
-
BI, J., XIONG, T., YU, S., DUNDAR, M., AND RAO, R. B. 2008. An improved multi-task learning approach with applications in medical diagnosis. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD).
-
(2008)
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)
-
-
J, B.I.1
Xiong, T.2
S, Y.U.3
Dundar, M.4
Rao, R.B.5
-
11
-
-
56449090551
-
Multi-task learning for HIV therapy screening
-
BICKEL, S., BOGOJESKA, J., LENGAUER, T., AND SCHEFFER, T. 2008. Multi-task learning for HIV therapy screening. In Proceedings of the International Conference on Machine Learning (ICML).
-
(2008)
Proceedings of the International Conference on Machine Learning (ICML)
-
-
Bickel, S.1
Bogojeska, J.2
Lengauer, T.3
Scheffer, T.4
-
13
-
-
79960675858
-
Robust principal component analysis?
-
CANDÈ S, E. J., LI, X., MA, Y., AND WRIGHT, J. 2009. Robust principal component analysis? J. ACM 58, 1, 1-37.
-
(2009)
J. ACM
, vol.58
, Issue.1
, pp. 1-37
-
-
Candè, S.E.J.1
X, L.I.2
Ma, Y.3
Wright, J.4
-
14
-
-
0031189914
-
Multitask learning
-
CARUANA, R. 1997. Multitask learning. Mach. Learn. 28, 1, 41-75. (Pubitemid 127507169)
-
(1997)
Machine Learning
, vol.28
, Issue.1
, pp. 41-75
-
-
Caruana, R.1
-
15
-
-
80051618405
-
Sparse and low-rank matrix decompositions
-
CHANDRASEKARAN, V., SANGHAVI, S., PARRILO, P. A., AND WILLSKY, A. S. 2009. Sparse and low-rank matrix decompositions. In Proceedings of the15th IFAC Symposium on System Identification (SYSID).
-
(2009)
Proceedings of the15th IFAC Symposium on System Identification (SYSID)
-
-
Chandrasekaran, V.1
Sanghavi, S.2
Parrilo, P.A.3
Willsky, A.S.4
-
16
-
-
79955702502
-
LIBSVM: A library for support vector machines
-
CHANG, C.-C. AND LIN, C.-J. 2011. LIBSVM: A library for support vector machines. ACM Trans. Intell. Syst. Technol. 2, 27, 1-27.
-
(2011)
ACM Trans. Intell. Syst. Technol
, vol.2
, Issue.27
, pp. 1-27
-
-
Chang, C.-C.1
Lin, C.-J.2
-
17
-
-
71149094644
-
A convex formulation for learning shared structures from multiple tasks
-
CHEN, J., TANG, L., LIU, J., AND YE, J. 2009a. A convex formulation for learning shared structures from multiple tasks. In Proceedings of the International Conference on Machine Learning (ICML).
-
(2009)
Proceedings of the International Conference on Machine Learning (ICML)
-
-
Chen, J.1
Tang, L.2
Liu, J.3
J, Y.E.4
-
18
-
-
77951173993
-
Accelerated gradient method for multi-task sparse learning problem
-
CHEN, X., PAN, W., KWOK, J. T., AND CARBONELL, J. G. 2009b. Accelerated gradient method for multi-task sparse learning problem. In Proceedings of the IEEE International Conference on Data Mining (ICDM).
-
(2009)
Proceedings of the IEEE International Conference on Data Mining (ICDM)
-
-
Chen, X.1
Pan, W.2
Kwok, J.T.3
Carbonell, J.G.4
-
19
-
-
80053450397
-
Graph-structured multi-task regression and an efficient optimization method for general fused lasso
-
abs/1005.3579
-
CHEN, X., KIM, S., LIN, Q., CARBONELL, J. G., AND XING, E. P. 2010a. Graph-structured multi-task regression and an efficient optimization method for general fused lasso. Computing Research Repository (CoRR), abs/1005.3579.
-
(2010)
Computing Research Repository (CoRR)
-
-
Chen, X.1
Kim, S.2
Lin, Q.3
Carbonell, J.G.4
Xing, E.P.5
-
20
-
-
84903613224
-
An efficient proximal-gradient method for single and multi-task regression with structured sparsity
-
abs/1005.4717v3
-
CHEN, X., LIN, Q., KIM, S., CARBONELL, J. G., AND XING, E. P. 2010b. An efficient proximal-gradient method for single and multi-task regression with structured sparsity. Computing Research Repository (CoRR), abs/1005.4717v3.
-
(2010)
Computing Research Repository (CoRR)
-
-
Chen, X.1
Lin, Q.2
Kim, S.3
Carbonell, J.G.4
Xing, E.P.5
-
21
-
-
21844456299
-
Learning multiple tasks with kernel methods
-
EVGENIOU, T., MICCHELLI, C. A., AND PONTIL, M. 2005. Learning multiple tasks with kernel methods. J. Mach. Learn. Res. 6, 615-637.
-
(2005)
J. Mach. Learn. Res
, vol.6
, pp. 615-637
-
-
Evgeniou, T.1
Micchelli, C.A.2
Pontil, M.3
-
23
-
-
41949085885
-
A quantitative spatiotemporal atlas of gene expression in the drosophila blastoderm
-
DOI 10.1016/j.cell.2008.01.053, PII S009286740800281X
-
FOWLKES, C. C., HENDRIKS, C. L. L., KERÄNEN, S. V., WEBER, G. H., RÜBEL, O., HUANG, M.-Y., CHATOOR, S., DEPACE, A. H., SIMIRENKO, L., HENRIQUEZ, C., BEATON, A., WEISZMANN, R., CELNIKER, S., HAMANN, B., KNOWLES, D. W., BIGGIN, M. D., EISEN, M. B., AND MALIK, J. 2008. A quantitative spatiotemporal atlas of gene expression in the drosophila blastoderm. Cell 133, 2, 364-374. (Pubitemid 351508300)
-
(2008)
Cell
, vol.133
, Issue.2
, pp. 364-374
-
-
Fowlkes, C.C.1
Hendriks, C.L.L.2
Keranen, S.V.E.3
Weber, G.H.4
Rubel, O.5
Huang, M.-Y.6
Chatoor, S.7
DePace, A.H.8
Simirenko, L.9
Henriquez, C.10
Beaton, A.11
Weiszmann, R.12
Celniker, S.13
Hamann, B.14
Knowles, D.W.15
Biggin, M.D.16
Eisen, M.B.17
Malik, J.18
-
27
-
-
85162062975
-
A dirty model for multi-task learning
-
JALALI, A., RAVIKUMAR, P., SANGHAVI, S., AND RUAN, C. 2010. A dirty model for multi-task learning. In Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS).
-
(2010)
Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS)
-
-
Jalali, A.1
Ravikumar, P.2
Sanghavi, S.3
Ruan, C.4
-
29
-
-
70350677092
-
Drosophila gene expression pattern annotation using sparse features and term-term interactions
-
JI, S., YUAN, L., LI, Y.-X., ZHOU, Z.-H., KUMAR, S., AND YE, J. 2009. Drosophila gene expression pattern annotation using sparse features and term-term interactions. In Proceedings of the International SIGKDD Conference on Knowledge Discovery and Data Mining (KDD).
-
(2009)
Proceedings of the International SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
-
-
Ji, S.1
Yuan, L.2
Li, Y.-X.3
Zhou, Z.-H.4
Kumar, S.5
Ye, J.6
-
32
-
-
34848918150
-
Global Analysis of mRNA Localization Reveals a Prominent Role in Organizing Cellular Architecture and Function
-
DOI 10.1016/j.cell.2007.08.003, PII S0092867407010227
-
LÉCUYER, E., YOSHIDA, H., PARTHASARATHY, N., ALM, C., BABAK, T., CEROVINA, T., HUGHES, T. R., TOMANCAK, P., AND KRAUSE, H. M. 2007. Global analysis of mRNA localization reveals a prominent role in organizing cellular architecture and function. Cell 131, 1, 174-187. (Pubitemid 47498530)
-
(2007)
Cell
, vol.131
, Issue.1
, pp. 174-187
-
-
Lecuyer, E.1
Yoshida, H.2
Parthasarathy, N.3
Alm, C.4
Babak, T.5
Cerovina, T.6
Hughes, T.R.7
Tomancak, P.8
Krause, H.M.9
-
36
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
LOWE, D. G. 2004. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60, 2, 91-110.
-
(2004)
Int. J. Comput. Vis
, vol.60
, Issue.2
, pp. 91-110
-
-
Lowe, D.G.1
-
40
-
-
77953322499
-
Joint covariate selection and joint subspace selection for multiple classification problems
-
OBOZINSKI, G., B.TASKAR, AND JORDAN, M. 2010. Joint covariate selection and joint subspace selection for multiple classification problems. Statist. Comput. 20, 2, 231-252.
-
(2010)
Statist. Comput
, vol.20
, Issue.2
, pp. 231-252
-
-
Obozinski, G.1
Taskar, B.2
Jordan, M.3
-
41
-
-
79251515185
-
Trace norm regularization: Reformulations, algorithms, and multi-task learning
-
PONG, T. K., TSENG, P., JI, S., AND YE, J. 2010. Trace norm regularization: Reformulations, algorithms, and multi-task learning. SIAM J. Optim. 20, 6.
-
(2010)
SIAM J. Optim
, vol.20
, pp. 6
-
-
Pong, T.K.1
Tseng, P.2
S, J.I.3
J, Y.E.4
-
42
-
-
46249099027
-
-
The MIT Press
-
SCHÖ LKOPF, B. AND SMOLA, A. J. 2002. Learning With Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. The MIT Press.
-
(2002)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and beyond
-
-
Schö Lkopf, B.1
Smola, A.J.2
-
44
-
-
0001622601
-
Weighted minimum trace factor analysis
-
SHAPIRO, A. 1982. Weighted minimum trace factor analysis. Psychometrika 47, 3, 243-264.
-
(1982)
Psychometrika
, vol.47
, Issue.3
, pp. 243-264
-
-
Shapiro, A.1
-
45
-
-
77952894864
-
Bregman divergence-based regularization for transfer subspace learning
-
SI, S., TAO, D., AND GENG, B. 2010. Bregman divergence-based regularization for transfer subspace learning. IEEE Trans. Knowl. Data Eng. 22, 7, 929-942.
-
(2010)
IEEE Trans. Knowl. Data Eng
, vol.22
, Issue.7
, pp. 929-942
-
-
S, S.I.1
Tao, D.2
Geng, B.3
-
46
-
-
0033296299
-
Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones
-
STURM, J. F. 2001. Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones. Optim. Methods Softw. 11-12, 653-625.
-
(2001)
Optim. Methods Softw
, vol.11-12
, pp. 653-625
-
-
Sturm, J.F.1
-
47
-
-
85194972808
-
Regression shrinkage and selection via the lasso
-
TIBSHIRANI, R. 1996. Regression shrinkage and selection via the lasso. J. Royal Statist. Soc., Series B 58, 267-288.
-
(1996)
J. Royal Statist. Soc., Series B
, vol.58
, pp. 267-288
-
-
Tibshirani, R.1
-
49
-
-
0030106462
-
Semidefinite programming
-
VANDENBERGHE, L. AND BOYD, S. 1996. Semidefinite programming. SIAM Rev. 38, 1, 49-95. (Pubitemid 126610912)
-
(1996)
SIAM Review
, vol.38
, Issue.1
, pp. 49-95
-
-
Vandenberghe, L.1
Boyd, S.2
-
50
-
-
0011336092
-
Characterization of the subdifferential of some matrix norms
-
WATSON, G. A. 1992. Characterization of the subdifferential of some matrix norms. Linear Algebra Appl. 170, 33-45.
-
(1992)
Linear Algebra Appl
, vol.170
, pp. 33-45
-
-
Watson, G.A.1
-
51
-
-
84863367863
-
Robust principal component analysis: Exact recovery of corrupted low-rank matrices by convex optimization
-
WRIGHT, J., PENG, Y., MA, Y., GANESH, A., AND RAO, S. 2009. Robust principal component analysis: Exact recovery of corrupted low-rank matrices by convex optimization. In Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS).
-
(2009)
Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS)
-
-
Wright, J.1
Peng, Y.2
Ma, Y.3
Ganesh, A.4
Rao, S.5
-
52
-
-
33846487387
-
Multi-task learning for classification with Dirichlet process priors
-
XUE, Y., LIAO, X., CARIN, L., AND KRISHNAPURAM, B. 2007. Multi-task learning for classification with Dirichlet process priors. J. Mach. Learn. Res. 8, 35-63. (Pubitemid 46155123)
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 35-63
-
-
Ya, X.1
Xuejun, L.2
Carin, L.3
Krishnapuram, B.4
-
56
-
-
84863245414
-
Regularized risk minimization by Nesterov's accelerated gradient methods: Algorithmic extensions and empirical studies
-
abs/1011.0472
-
ZHANG, X., SAHA, A., AND VISHWANATHAN, S. V. N. 2010. Regularized risk minimization by Nesterov's accelerated gradient methods: Algorithmic extensions and empirical studies. Computing Research Repository (CoRR). abs/1011.0472.
-
(2010)
Computing Research Repository (CoRR)
-
-
Zhang, X.1
Saha, A.2
Vishwanathan, S.V.N.3
|