-
1
-
-
70449368650
-
Discriminative learning under covariate shift
-
Bickel, S., Br̈ uckner, M., and Scheffer, T. 2009. Discriminative learning under covariate shift. J. Mach. Learn. Res. 10, 2137-2155.
-
(2009)
J. Mach. Learn. Res.
, vol.10
, pp. 2137-2155
-
-
Bickel, S.1
Br̈ Uckner, M.2
Scheffer, T.3
-
2
-
-
33747886323
-
Integrating structured biological data by kernel maximum mean discrepancy
-
Borgwardt, K., Gretton, A., Rasch, M., Kriegel, H., Schlkopf, B., and Smola, A. 2006. Integrating structured biological data by kernel maximum mean discrepancy. Bioinformatics 22, 14, 49-57.
-
(2006)
Bioinformatics
, vol.22
, Issue.14
, pp. 49-57
-
-
Borgwardt, K.1
Gretton, A.2
Rasch, M.3
Kriegel, H.4
Schlkopf, B.5
Smola, A.6
-
5
-
-
84863393172
-
Manifold adaptive experimental design for text categorization
-
Cai, D. and He, X. 2012. Manifold adaptive experimental design for text categorization. IEEE Trans. on Knowledge and Data Engineering 24, 4, 707-719.
-
(2012)
IEEE Trans. on Knowledge and Data Engineering
, vol.24
, Issue.4
, pp. 707-719
-
-
Cai, D.1
He, X.2
-
9
-
-
0031209604
-
Selective sampling using query by committee algorithm
-
Freund, Y., Seung, H., Shamir, E., and Tishby, N. 1997. Selective sampling using query by committee algorithm. Mach. Learn. 28.
-
(1997)
Mach. Learn.
, pp. 28
-
-
Freund, Y.1
Seung, H.2
Shamir, E.3
Tishby, N.4
-
11
-
-
84864063983
-
A kernel method for the two-sample problem
-
Gretton, A., Borgwardt, K. M., Rasch, M., Scholkopf, B., and Smola, A. J. 2007. A kernel method for the two-sample problem. In Proceedings of the Conference on Advances in Neural Information Processing Systems.
-
(2007)
Proceedings of the Conference on Advances in Neural Information Processing Systems
-
-
Gretton, A.1
Borgwardt, K.M.2
Rasch, M.3
Scholkopf, B.4
Smola, A.J.5
-
12
-
-
77951533539
-
A kernel method for the two-sample-problem
-
Gretton, A., Borgwardt, K. M., Rasch, M., Scḧolkopf, B., and Smola, A. J. 2008. A kernel method for the two-sample-problem. Journal of Machine Learning Research 1, 1-10.
-
(2008)
Journal of Machine Learning Research
, vol.1
, pp. 1-10
-
-
Gretton, A.1
Borgwardt, K.M.2
Rasch, M.3
Scḧolkopf, B.4
Smola, A.J.5
-
15
-
-
77953193664
-
Active subspace learning
-
He, X. and Cai, D. 2009. Active subspace learning. In ICCV.
-
(2009)
ICCV
-
-
He, X.1
Cai, D.2
-
16
-
-
34250745927
-
Batch mode active learning and its application to medical image classification
-
Hoi, S., Jin, R., Zhu, J., and Lyu, M. 2006. Batch mode active learning and its application to medical image classification. In Proceedings of the International Conference on Machine Learning.
-
(2006)
Proceedings of the International Conference on Machine Learning
-
-
Hoi, S.1
Jin, R.2
Zhu, J.3
Lyu, M.4
-
17
-
-
51949109425
-
Semi-supervised svm batch mode active learning for image retrieval
-
Hoi, S., Jin, R., Zhu, J., and Lyu, M. 2008. Semi-supervised svm batch mode active learning for image retrieval. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
-
(2008)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
-
-
Hoi, S.1
Jin, R.2
Zhu, J.3
Lyu, M.4
-
18
-
-
84864031047
-
Correcting sample selection bias by unlabeled data
-
Huang, J., Smola, A., Gretton, A., Borgwardt, K., and Scholkopf, B. 2007. Correcting sample selection bias by unlabeled data. In Proceedings of the Conference on Advances in Neural Information Processing Systems.
-
(2007)
Proceedings of the Conference on Advances in Neural Information Processing Systems
-
-
Huang, J.1
Smola, A.2
Gretton, A.3
Borgwardt, K.4
Scholkopf, B.5
-
19
-
-
85162011798
-
Active learning by querying informative and representative examples
-
Huang, S., Jin, R., and Zhou, Z. 2010. Active Learning by Querying Informative and Representative Examples. In NIPS.
-
(2010)
NIPS
-
-
Huang, S.1
Jin, R.2
Zhou, Z.3
-
20
-
-
11244252979
-
Entropy based active learning with support vector machines for content based image retrieval
-
Jing, F., Li, M., Zhang, H., and Zhang, B. 2004. Entropy based active learning with support vector machines for content based image retrieval. In Proceedings of the International Conference on Multimedia and Expo.
-
(2004)
Proceedings of the International Conference on Multimedia and Expo.
-
-
Jing, F.1
Li, M.2
Zhang, H.3
Zhang, B.4
-
22
-
-
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
-
Lecuyer, E., Yoshida, H., Parthasarathy, N., Alm, C., and Babak, T. 2011. 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
-
23
-
-
0036543747
-
Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition
-
DOI 10.1109/TIP.2002.999679, PII S1057714902035480
-
Liu, C. and Wechsler, H. 2002. Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition. IEEE Trans. Image Process. 11, 467-476. (Pubitemid 34692396)
-
(2002)
IEEE Transactions on Image Processing
, vol.11
, Issue.4
, pp. 467-476
-
-
Liu, C.1
Wechsler, H.2
-
25
-
-
78751696249
-
Domain adaptation via transfer component analysis
-
Pan, S., Tsang, I., Kwok, J., and Yang, Q. 2009. Domain adaptation via transfer component analysis. In Proceedings of the International Joint Conference on Artificial Intelligence.
-
(2009)
Proceedings of the International Joint Conference on Artificial Intelligence
-
-
Pan, S.1
Tsang, I.2
Kwok, J.3
Yang, Q.4
-
26
-
-
70350654194
-
Transfer learning via dimensionality reduction
-
Pan, S. J., Kwok, J. T., and Yang, Q. 2008. Transfer learning via dimensionality reduction. In AAAI.
-
(2008)
AAAI
-
-
Pan, S.J.1
Kwok, J.T.2
Yang, Q.3
-
27
-
-
79951762853
-
Domain adaptation meets active learning
-
Rai, P., Saha, A., Dauḿe, H. III, and Venkatasubramanian, S. 2010. Domain adaptation meets active learning. In Proceedings of the NAACL-HLT Active Learning for NLP Workshop.
-
(2010)
Proceedings of the NAACL-HLT Active Learning for NLP Workshop
-
-
Rai, P.1
Saha, A.2
Dauḿe III, H.3
Venkatasubramanian, S.4
-
32
-
-
0037527188
-
Improving predictive inference under covariate shift by weighting the log-likelihood function
-
Shimodaira, H. 2000. Improving predictive inference under covariate shift by weighting the log-likelihood function. J. Stat. Plan. Inference 90, 227-244.
-
(2000)
J. Stat. Plan. Inference
, vol.90
, pp. 227-244
-
-
Shimodaira, H.1
-
33
-
-
77951953755
-
Hilbert space embeddings and metrics on probability measures
-
Sriperumbudur, B., Gretton, A., Fukumizu, K., Scholkopf, B., and Lanckriet, G. 2010. Hilbert space embeddings and metrics on probability measures. J. Mach. Learn. Res. 11, 1517-1561.
-
(2010)
J. Mach. Learn. Res.
, vol.11
, pp. 1517-1561
-
-
Sriperumbudur, B.1
Gretton, A.2
Fukumizu, K.3
Scholkopf, B.4
Lanckriet, G.5
-
34
-
-
0010786475
-
On the influence of the kernel on the consistency of support vector machines
-
Steinwart, I. 2002. On the influence of the kernel on the consistency of support vector machines. J. Mach. Learn. Res. 2, 67-93.
-
(2002)
J. Mach. Learn. Res.
, vol.2
, pp. 67-93
-
-
Steinwart, I.1
-
35
-
-
85161964516
-
Direct importance estimation with model selection and its application to covariate shift adaptation
-
Sugiyama, M., Nakajima, S., Kashima, H., Buenau, P. V., and Kawanabe, M. 2008. Direct importance estimation with model selection and its application to covariate shift adaptation. In NIPS.
-
(2008)
NIPS
-
-
Sugiyama, M.1
Nakajima, S.2
Kashima, H.3
Buenau, P.V.4
Kawanabe, M.5
-
36
-
-
0012252471
-
Systematic determination of patterns of gene expression during drosophila embryogenesis
-
Tomancak, P., Beaton, A., Weiszmann, R., Kwan, E., and Shu, S. 2002. Systematic determination of patterns of gene expression during drosophila embryogenesis. Genome Biol. 3.
-
(2002)
Genome Biol.
, pp. 3
-
-
Tomancak, P.1
Beaton, A.2
Weiszmann, R.3
Kwan, E.4
Shu, S.5
-
37
-
-
0042868698
-
Support vector machine active learning with applications to text classification
-
Tong, S. and Koller, D. 2000. Support vector machine active learning with applications to text classification. J. Mach. Learn. Res. 2, 45-66.
-
(2000)
J. Mach. Learn. Res.
, vol.2
, pp. 45-66
-
-
Tong, S.1
Koller, D.2
-
41
-
-
34247634720
-
Sampling strategies for active learning in personal photo retrieval
-
Wu, Y., Kozintsev, I., Bouguet, J., and Dulong, C. 2006. Sampling strategies for active learning in personal photo retrieval. In Proceedings of the International Conference on Multimedia and Expo.
-
(2006)
Proceedings of the International Conference on Multimedia and Expo
-
-
Wu, Y.1
Kozintsev, I.2
Bouguet, J.3
Dulong, C.4
-
43
-
-
80051991360
-
Active learning based on locally linear reconstruction
-
Zhang, L., Chen, C., Bu, J., Cai, D., He, X., and Huang, T. S. 2011. Active learning based on locally linear reconstruction. IEEE Trans. on Pattern Analysis and Machine Intelligence 33, 10, 2026-2038.
-
(2011)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.33
, Issue.10
, pp. 2026-2038
-
-
Zhang, L.1
Chen, C.2
Bu, J.3
Cai, D.4
He, X.5
Huang, T.S.6
|