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106 BIBLIOGRAPHY
[138] Bo Pang and Lillian Lee. A sentimental education: Sentiment analysis using subjectivity
summarization based on minimum cuts. In Proceedings of the Association for Computational
Linguistics , pages 271-278, 2004.
[139] Thanh Phong Pham, Hwee Tou Ng, and Wee Sun Lee. Word sense disambiguation with
semi-supervised learning. In AAAI-05, The Twentieth National Conference on Artificial Intel-
ligence , 2005.
[140] Rajat Raina, Alexis Battle, Honglak Lee, Benjamin Packer, and Andrew Y. Ng. Self-taught
learning: Transfer learning from unlabeled data.
In The 24th International Conference on
Machine Learning , 2007.
[141] M. Ranzato and M. Szummer. Semi-supervised learning of compact document representa-
tions with deep networks. In Andrew McCallum and Sam Roweis, editors, Proceedings of
the 25th Annual International Conference on Machine Learning (ICML 2008) , pages 792-799.
Omnipress, 2008.
[142] J. Ratsaby and S. Venkatesh. Learning from a mixture of labeled and unlabeled examples with
parametric side information. Proceedings of the Eighth Annual Conference on Computational
Learning Theory , pages 412-417, 1995. DOI: 10.1145/225298.225348
[143] Philippe Rigollet. Generalization error bounds in semi-supervised classification under the
cluster assumption. Journal of Machine Learning Research , 8( Jul):1369-1392, 2007.
[144] E. Riloff, J. Wiebe, and T. Wilson. Learning subjective nouns using extraction pattern boot-
strapping. In Proceedings of the Seventh Conference on Natural Language Learning (CoNLL-
2003) , 2003. DOI: 10.3115/1119176.1119180
[145] Charles Rosenberg, Martial Hebert, and Henry Schneiderman. Semi-supervised self-training
of object detection models. In Seventh IEEE Workshop on Applications of Computer Vision ,
January 2005. DOI: 10.1109/ACVMOT.2005.107
[146] Saharon Rosset, Ji Zhu, Hui Zou, and Trevor Hastie. A method for inferring label sampling
mechanisms in semi-supervised learning. In Lawrence K. Saul, Yair Weiss, and Léon Bottou,
editors, Advances in Neural Information Processing Systems 17 . MIT Press, Cambridge, MA,
2005.
[147] Stuart Russell and Peter Norvig. Artificial Intelligence: A Modern Approach . Prentice-Hall,
Englewood Cliffs, NJ, second edition, 2003.
[148] L. K. Saul, K. Q. Weinberger, J. H. Ham, F. Sha, and D. D. Lee. Spectral methods for
dimensionality reduction. In O. Chapelle B. Schoelkopf and A. Zien, editors, Semisupervised
Learning . MIT Press, 2006.
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