Collective Classification for Text Classification - Text Mining: Classification, Clustering, and Applications - page 68

[34] B. Taskar, P. Abbeel, and D. Koller. Discriminative probabilistic models
for relational data. In Proceedings of the Annual Conference on Uncer-
tainty in Artificial Intelligence , 2002.
[35] B. Taskar, V. Chatalbashev, D. Koller, and C. Guestrin. Learning struc-
tured prediction models: A large margin approach. In Proceedings of the
International Conference on Machine Learning , 2005.
[36] B. Taskar, C. Guestrin, and D. Koller. Max-margin markov networks.
In Neural Information Processing Systems , 2003.
[37] B. Taskar, M. F. Wong, P. Abbeel, and D. Koller. Link prediction in
relational data. In Neural Information Processing Systems , 2003.
[38] M. J. Wainwright, T. S. Jaakkola, and A. S. Willsky. Map estimation via
agreement on (hyper)trees: Message-passing and linear-programming
approaches. In IEEE Transactions on Information Theory , 2005.
[39] Y. Weiss. Comparing the mean field method and belief propagation for
approximate inference in MRFs. In Advanced Mean Field Methods ,M.
Opper and D. Saad, eds., MIT Press, 2001.
[40] Y. Weiss. Advanced Mean Field Methods , chapter Comparing the mean
field method and belief propagation for approximate inference in MRFs.
MIT Press, 2001.
[41] L. Xu, D. Wilkinson, F. Southey, and D. Schuurmans. Discriminative
unsupervised learning of structured predictors. In Proceedings of the
International Conference on Machine Learning , 2006.
[42] Y. Yang, S. Slattery, and R. Ghani. A study of approaches to hypertext
categorization. Journal of Intelligent Information Systems , 2002.
[43] C. Yanover and Y. Weiss. Approximate inference and protein-folding.
In Neural Information Processing Systems , 2002.
[44] J. S. Yedidia, W. T. Freeman, and Y. Weiss. Constructing free-energy
approximations and generalized belief propagation algorithms. In IEEE
Transactions on Information Theory , 2005.
[45] J. S. Yedidia, W. T.Freeman, and Y. Weiss. Generalized belief propa-
gation. In Neural Information Processing Systems , 2000.
[46] A. L. Yuille. CCCP algorithms to minimize the bethe and kikuchi free
energies: Convergent alternatives to belief propagation. In Neural In-
formation Processing Systems , 2002.