-
1
-
-
27844439373
-
A framework for learning predictive structures from multiple tasks and unlabeled data
-
Ando, R. and Zhang, T. (2005) 'A framework for learning predictive structures from multiple tasks and unlabeled data', Journal of Machine Learning Research, Vol. 6, pp.1817-1853.
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 1817-1853
-
-
Ando, R.1
Zhang, T.2
-
2
-
-
55149088329
-
Convex multi-task feature learning
-
Argyriou, A., Evgeniou, T. and Pontil, M. (2008) 'Convex multi-task feature learning', Machine Learning, Vol. 73, No. 3, pp.243-272.
-
(2008)
Machine Learning
, vol.73
, Issue.3
, pp. 243-272
-
-
Argyriou, A.1
Evgeniou, T.2
Pontil, M.3
-
3
-
-
56449090551
-
Multi-task learning for HIV therapy screening
-
Helsinki, Finland
-
Bickel, S., Bogojeska, J., Lengauer, T. and Scheffer, T. (2008) 'Multi-task learning for HIV therapy screening', Proceedings of 25th International Conference on Machine Learning, Helsinki, Finland, pp.56-63.
-
(2008)
Proceedings of 25th International Conference on Machine Learning
, pp. 56-63
-
-
Bickel, S.1
Bogojeska, J.2
Lengauer, T.3
Scheffer, T.4
-
4
-
-
70350645697
-
Transfer learning by distribution matching for targeted advertising
-
Bickel, S., Sawade, C. and Scheffer, T. (2009) 'Transfer learning by distribution matching for targeted advertising', Advances in Neural Information Processing Systems, pp.145-152.
-
(2009)
Advances in Neural Information Processing Systems
, pp. 145-152
-
-
Bickel, S.1
Sawade, C.2
Scheffer, T.3
-
5
-
-
0031189914
-
Multitask Learning
-
Caruana, R. (1997) 'Multitask learning', Machine Learning, Vol. 28, pp.41-75. (Pubitemid 127507169)
-
(1997)
Machine Learning
, vol.28
, Issue.1
, pp. 41-75
-
-
Caruana, R.1
-
6
-
-
33750012146
-
Gene selection in cancer classification using sparse logistic regression with Bayesian regularization
-
DOI 10.1093/bioinformatics/btl386
-
Cawley, G.C. and Talbot, N.L.C. (2006) 'Gene selection in cancer classification using sparse logistic regression with Bayesian regularization', Bioinformatics, Vol. 22, No. 19, pp.2348-2355. (Pubitemid 44566963)
-
(2006)
Bioinformatics
, vol.22
, Issue.19
, pp. 2348-2355
-
-
Cawley, G.C.1
Talbot, N.L.C.2
-
7
-
-
3242708140
-
Least angle regression
-
DOI 10.1214/009053604000000067
-
Efron, B., Hastie, T., Johnstone, I. and Tibshirani, R. (2004) 'Least angle regression', Annual Statistics, Vol. 32, pp.407-499. (Pubitemid 41250302)
-
(2004)
Annals of Statistics
, vol.32
, Issue.2
, pp. 407-499
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
Ishwaran, H.5
Knight, K.6
Loubes, J.-M.7
Massart, P.8
Madigan, D.9
Ridgeway, G.10
Rosset, S.11
Zhu, J.I.12
Stine, R.A.13
Turlach, B.A.14
Weisberg, S.15
Hastie, T.16
Johnstone, I.17
Tibshirani, R.18
-
8
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
DOI 10.1023/A:1012487302797
-
Guyon, I., Weston, J., Barnhill, S. and Vapnik, V. (2002) 'Gene selection for cancer classification using support vector machines', Machine Learning, Vol. 46, pp.389-422. (Pubitemid 34129977)
-
(2002)
Machine Learning
, vol.46
, Issue.1-3
, pp. 389-422
-
-
Guyon, I.1
Weston, J.2
Barnhill, S.3
Vapnik, V.4
-
9
-
-
0346801873
-
The Gene Oncology (GO) database and informatics resource
-
Harris, M.A., Clark, J., Ireland, A., Lomax, J., Ashburner, M., Foulger, R., Eilbeck, K., Lewis, S., Marshall, B., Mungall, C., Richter, J., Rubin, G.M., Blake, J.A., Bult, C., Dolan, M., Drabkin, H., Eppig, J.T., Hill, D.P., Ni, L., Ringwald, M., Balakrishnan, R., Cherry, J.M., Christie, K.R., Costanzo, M.C., Dwight, S.S., Engel, S., Fisk, D.G., Hirschman, J.E., Hong, E.L., Nash, R.S., Sethuraman, A., Theesfeld, C.L., Botstein, D., Dolinski, K., Feierbach, B., Berardini, T., Mundodi, S., Rhee, S.Y., Apweiler, R., Barrell, D., Camon, E., Dimmer, E., Lee, V., Chisholm, R., Gaudet, P., Kibbe, W., Kishore, R., Schwarz, E.M., Sternberg, P., Gwinn, M., Hannick, L., Wortman, J., Berriman, M., Wood, V., de la Cruz, N., Tonellato, P., Jaiswal, P., Seigfried, T. and White, R. (2004) 'Gene Ontology Consortium (2004) 'The Gene Ontology (GO) database and informatics resource'', Nucleic Acids Res., Vol. 32 (database issue), pp.D258-D261. (Pubitemid 38081651)
-
(2004)
Nucleic Acids Research
, vol.32
, Issue.DATABASE ISSUE
-
-
Harris, M.A.1
Clark, J.2
Ireland, A.3
Lomax, J.4
Ashburner, M.5
Foulger, R.6
Eilbeck, K.7
Lewis, S.8
Marshall, B.9
Mungall, C.10
Richter, J.11
Rubin, G.M.12
Blake, J.A.13
Bult, C.14
Dolan, M.15
Drabkin, H.16
Eppig, J.T.17
Hill, D.P.18
Ni, L.19
Ringwald, M.20
Balakrishnan, R.21
Cherry, J.M.22
Christie, K.R.23
Costanzo, M.C.24
Dwight, S.S.25
Engel, S.26
Fisk, D.G.27
Hirschman, J.E.28
Hong, E.L.29
Nash, R.S.30
Sethuraman, A.31
Theesfeld, C.L.32
Botstein, D.33
Dolinski, K.34
Feierbach, B.35
Berardini, T.36
Mundodi, S.37
Rhee, S.Y.38
Apweiler, R.39
Barrell, D.40
Camon, E.41
Dimmer, E.42
Lee, V.43
Chisholm, R.44
Gaudet, P.45
Kibbe, W.46
Kishore, R.47
Schwarz, E.M.48
Sternberg, P.49
Gwinn, M.50
Hannick, L.51
Wortman, J.52
Berriman, M.53
Wood, V.54
De La Cruz, N.55
Tonellato, P.56
Jaiswal, P.57
Seigfried, T.58
White, R.59
more..
-
10
-
-
71149092858
-
Partially supervised feature selection with regularized linear models
-
Quebec, Canada
-
Helleputte, T. and Dupont, P. (2009) 'Partially supervised feature selection with regularized linear models', Proceedings of the 26th International Conference on Machine Learning, Quebec, Canada, pp.409-416.
-
(2009)
Proceedings of the 26th International Conference on Machine Learning
, pp. 409-416
-
-
Helleputte, T.1
Dupont, P.2
-
11
-
-
0345863935
-
The KEGG resource for deciphering the genome
-
Kanehisa, M., Goto, S., Kawashima, S., Okuno, Y. and Hattori, M. (2004) 'The KEGG resource for deciphering the genome', Nucleic Acids Res., Vol. 32, pp.D277-D280. (Pubitemid 38081656)
-
(2004)
Nucleic Acids Research
, vol.32
, Issue.DATABASE ISSUE
-
-
Kanehisa, M.1
Goto, S.2
Kawashima, S.3
Okuno, Y.4
Hattori, M.5
-
12
-
-
21244437589
-
Sparse multinomial logistic regression: Fast algorithms and generalization bounds
-
DOI 10.1109/TPAMI.2005.127
-
Krishnapuram, B., Carin, L., Figueiredo, M. and Hartemink, A. (2005) 'Sparse multinomial logistic regression: fast algorithms and generalization bounds', Machine Intelligence, Vol. 27, No. 6, pp.957-968. (Pubitemid 40889845)
-
(2005)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.27
, Issue.6
, pp. 957-968
-
-
Krishnapuram, B.1
Carin, L.2
Figueiredo, M.A.T.3
Hartemink, A.J.4
-
13
-
-
42649140560
-
Network-constrained regularization and variable selection for analysis of genomic data
-
DOI 10.1093/bioinformatics/btn081
-
Li, C. and Li, H. (2008) 'Network-constrained regularization and variable selection for analysis of genomic data', Bioinformatics, Vol. 24, pp.1175-1182. (Pubitemid 351594167)
-
(2008)
Bioinformatics
, vol.24
, Issue.9
, pp. 1175-1182
-
-
Li, C.1
Li, H.2
-
14
-
-
31844444368
-
Logistic regression with an auxiliary data source
-
ICML 2005 - Proceedings of the 22nd International Conference on Machine Learning
-
Liao, X., Xue, Y. and Carin, L. (2005) 'Logistic regression with an auxiliary data source', Proceedings of the 22nd International Conference on Machine Learning, Bonn, Germany, pp.505-512. (Pubitemid 43183372)
-
(2005)
ICML 2005 - Proceedings of the 22nd International Conference on Machine Learning
, pp. 505-512
-
-
Liao, X.1
Xue, Y.2
Carin, L.3
-
16
-
-
56049119180
-
Transfer learning with an ensemble of background tasks
-
Whistler, BC
-
Marx, Z., Rosenstein, M.T., Kaelbling, L.P. and Dietterich, T.G. (2005) 'Transfer learning with an ensemble of background tasks', NIPS 2005 Workshop on Transfer Learning, Whistler, BC.
-
(2005)
NIPS 2005 Workshop on Transfer Learning
-
-
Marx, Z.1
Rosenstein, M.T.2
Kaelbling, L.P.3
Dietterich, T.G.4
-
18
-
-
77953322499
-
Joint covariate selection and joint subspace selection for multiple classification problems
-
Obozinski, G., Taskar, B. and Jordan. M. (2010) 'Joint covariate selection and joint subspace selection for multiple classification problems', Statistics and Computing, Vol. 20, No. 2, pp.231-252.
-
(2010)
Statistics and Computing
, vol.20
, Issue.2
, pp. 231-252
-
-
Obozinski, G.1
Taskar, B.2
Jordan., M.3
-
19
-
-
22944454584
-
Feature selection filters based on the permutation test
-
Machine Learning: ECML 2004 - 15th European Conference on Machine Learning
-
Radivojac, P., Obradovic, Z., Dunker, A.K. and Vucetic, S. (2004) 'Characterization of permutation tests for feature selection', Proc. 15th European Conference on Machine Learning, Pisa, Italy, pp.334-346. (Pubitemid 41050103)
-
(2004)
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
, vol.3201
, pp. 334-346
-
-
Radivojac, P.1
Obradovic, Z.2
Keith Dunker, A.3
Vucetic, S.4
-
20
-
-
33749240383
-
Constructing informative priors using transfer learning
-
Pittsburgh, PA
-
Raina, R., Ng, A.Y. and Koller, D. (2006) 'Constructing informative priors using transfer learning', Proc. 23rd International Conference on Machine Learning, Pittsburgh, PA, pp.713-720.
-
(2006)
Proc. 23rd International Conference on Machine Learning
, pp. 713-720
-
-
Raina, R.1
Ng, A.Y.2
Koller, D.3
-
22
-
-
0347201147
-
Multiclass cancer diagnosis using tumor gene expression signatures
-
DOI 10.1073/pnas.211566398
-
Ramaswamy, S., Tamayo, P., Rifkin, R., Mukherjee, S., Yeang, C-H., Angelo, M., Ladd, C., Reich, M., Latulippe, E., Mesirov, J.P., Poggio, T., Gerald, W., Loda, M., Lander, E.S. and Golub, T.R. (2001) 'Multi-class cancer diagnosis using tumor gene expression signatures', Proceedings of the National Academy of Sciences, Vol. 98, pp.15149-15154. (Pubitemid 34013984)
-
(2001)
Proceedings of the National Academy of Sciences of the United States of America
, vol.98
, Issue.26
, pp. 15149-15154
-
-
Ramaswamy, S.1
Tamayo, P.2
Rifkin, R.3
Mukherjee, S.4
Yeang, C.-H.5
Angelo, M.6
Ladd, C.7
Reich, M.8
Latulippe, E.9
Mesirov, J.P.10
Poggio, T.11
Gerald, W.12
Loda, M.13
Lander, E.S.14
Golub, T.R.15
-
23
-
-
15844413351
-
A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis
-
DOI 10.1093/bioinformatics/bti033
-
Statnikov, A., Aliferis, C., Tsamardinos, I., Hardin, D. and Levy, S. (2005) 'A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis', Bioinformatics, Vol. 21, pp.631-643. (Pubitemid 40424789)
-
(2005)
Bioinformatics
, vol.21
, Issue.5
, pp. 631-643
-
-
Statnikov, A.1
Aliferis, C.F.2
Tsamardinos, I.3
Hardin, D.4
Levy, S.5
-
24
-
-
34547887978
-
Incorporating prior knowledge of predictors into penalized classifiers with multiple penalty terms
-
DOI 10.1093/bioinformatics/btm234
-
Tai, F. and Pan, W. (2007) 'Incorporating prior knowledge of predictors into penalized classifiers with multiple penalty terms', Bioinformatics, Vol. 23, pp.1775-1782. (Pubitemid 47250310)
-
(2007)
Bioinformatics
, vol.23
, Issue.14
, pp. 1775-1782
-
-
Tai, F.1
Pan, W.2
-
27
-
-
84890520049
-
Use of the zero-norm with linear models and kernel methods
-
Weston, J., Elisseef, A., Schlkopf, B. and Tipping, M. (2003) 'Use of the zero-norm with linear models and kernel methods', Journal of Machine Learning Research, Vol. 3, pp.1439-1461.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1439-1461
-
-
Weston, J.1
Elisseef, A.2
Schlkopf, B.3
Tipping, M.4
-
28
-
-
14344266561
-
Improving SVM accuracy by training on auxiliary data sources
-
Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004
-
Wu, P. and Dietterich, T. (2004) 'Improving SVM accuracy by training on auxiliary data sources', Proceedings of the 21st International Conference on Machine Learning, Morgan Kaufmann, pp.871-878. (Pubitemid 40290892)
-
(2004)
Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004
, pp. 871-878
-
-
Wu, P.1
Dietterich, T.G.2
-
29
-
-
16244401458
-
Regularization and variable selection via the elastic net
-
DOI 10.1111/j.1467-9868.2005.00503.x
-
Zou, H. and Hastie, T. (2005) 'Regularization and variable selection via the elastic net', Journal of the Royal Statistical Society: Series B, Vol. 67, pp.301-320. (Pubitemid 40465877)
-
(2005)
Journal of the Royal Statistical Society. Series B: Statistical Methodology
, vol.67
, Issue.2
, pp. 301-320
-
-
Zou, H.1
Hastie, T.2
|