-
3
-
-
56049095086
-
Boosting for transfer learning
-
Dai W., Qiang Y., Xue G., and Yong Y., "Boosting for Transfer Learning", In Proceedings of the 24th International Conference on Machine Learning (ICML), 2007.
-
(2007)
Proceedings of the 24th International Conference on Machine Learning (ICML)
-
-
Dai, W.1
Qiang, Y.2
Xue, G.3
Yong, Y.4
-
4
-
-
84864063089
-
Multitask feature learning
-
Argyriou, A., Evgeniou, T., and Pontil, M., "Multitask Feature Learning", In Proceedings of the 19th Annual Conference on Neural Information Processing Systems (NIPS), 2007.
-
(2007)
Proceedings of the 19th Annual Conference on Neural Information Processing Systems (NIPS)
-
-
Argyriou, A.1
Evgeniou, T.2
Pontil, M.3
-
10
-
-
84899008485
-
Pac generalization bounds for co-training
-
MIT Press
-
Dasgupta, S., Littman, M., and McAllester, D., "PAC Generalization Bounds for Co-training", In Advances in Neural Information Processing Systems, MIT Press, 2002, pp. 375-382.
-
(2002)
Advances in Neural Information Processing Systems
, pp. 375-382
-
-
Dasgupta, S.1
Littman, M.2
McAllester, D.3
-
11
-
-
26844464912
-
Corrected cotraining for statistical parsers
-
Hwa R., Osborne, M., Sarkar, A., and Steedman, M., "Corrected Cotraining for Statistical Parsers", In Working Notes of the ICML'03 Workshop on Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining, 2003.
-
(2003)
Working Notes of the ICML'03 Workshop on Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining
-
-
Hwa, R.1
Osborne, M.2
Sarkar, A.3
Steedman, M.4
-
16
-
-
1942484430
-
Semi-supervised learning using Gaussian fields and harmonic functions
-
Zhu, X., Ghahramani, Z., and Lafferty, J., "Semi-supervised Learning Using Gaussian Fields and Harmonic Functions", In Proceeding s of the 20th International Conference on Machine Learning (ICML), 2003.
-
(2003)
Proceeding S of the 20th International Conference on Machine Learning (ICML)
-
-
Zhu, X.1
Ghahramani, Z.2
Lafferty, J.3
-
17
-
-
33750729556
-
Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
-
Belkin, M., Niyogi, P., and Sindhwani, V., "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples", Journal of Machine Learning Research, 2006.
-
(2006)
Journal of Machine Learning Research
-
-
Belkin, M.1
Niyogi, P.2
Sindhwani, V.3
-
18
-
-
71149083696
-
Eigen-transfer: A unified framework for transfer learning
-
Dai, W., Jin, O., Xue, G., Yang, Q., and Yu, Y., "Eigen-Transfer: A Unified Framework for Transfer Learning", In Proceedings of the 26th International Conference on Machine Learning (ICML), 2009.
-
(2009)
Proceedings of the 26th International Conference on Machine Learning (ICML)
-
-
Dai, W.1
Jin, O.2
Xue, G.3
Yang, Q.4
Yu, Y.5
|