Geoscience Reference
In-Depth Information
96 BIBLIOGRAPHY
[12] Maria-Florina Balcan, Avrim Blum, and Ke Yang. Co-training and expansion: Towards
bridging theory and practice. In Lawrence K. Saul, Yair Weiss, and Léon Bottou, editors,
Advances in Neural Information Processing Systems 17
. MIT Press, Cambridge, MA, 2005.
[13] S. Baluja. Probabilistic modeling for face orientation discrimination: Learning from labeled
and unlabeled data.
Neural Information Processing Systems
, 1998.
[14] Peter L. Bartlett and Shahar Mendelson. Rademacher and Gaussian complexities: risk
bounds and structural results.
Journal of Machine Learning Research
, 3:463-482, 2002.
[15] Sugato Basu, Mikhail Bilenko, Arindam Banerjee, and Raymond J. Mooney. Probabilistic
semi-supervised clustering with constraints. In O. Chapelle, B. Schölkopf, and A. Zien,
editors,
Semi-Supervised Learning
, pages 71-98. MIT Press, 2006.
[16] Sugato Basu, Ian Davidson, and Kiri Wagstaff, editors.
Constrained Clustering: Advances in
Algorithms, Theory, and Applications
. Chapman & Hall/CRC Press, 2008.
[17] Mikhail Belkin, Partha Niyogi, and Vikas Sindhwani. Manifold regularization: A geometric
framework for learning from labeled and unlabeled examples.
Journal of Machine Learning
Research
, 7:2399-2434, November 2006.
[18] Kristin Bennett and Ayhan Demiriz. Semi-supervised support vector machines.
Advances in
Neural Information Processing Systems
, 11:368-374, 1999.
[19] Christopher M. Bishop.
Pattern Recognition and Machine Learning
. Springer, 2006.
[20] A. Blum, J. Lafferty, M.R. Rwebangira, and R. Reddy. Semi-supervised learning using ran-
domized mincuts. In
ICML-04, 21st International Conference on Machine Learning
, 2004.
[21] Avrim Blum and Shuchi Chawla. Learning from labeled and unlabeled data using graph
mincuts. In
Proc. 18th International Conf. on Machine Learning
, 2001.
[22] Avrim Blum and Tom Mitchell. Combining labeled and unlabeled data with co-training. In
COLT: Proceedings of the Workshop on Computational Learning Theory
, 1998.
[23] O. Bousquet, O. Chapelle, and M. Hein. Measure based regularization. In
Advances in Neural
Information Processing Systems 16.
, 2004.
[24] Ulf Brefeld, Christoph Büscher, and Tobias Scheffer. Multiview discriminative sequential
learning. In
European Conference on Machine Learning (ECML)
, 2005.
[25] Ulf Brefeld, Thomas Gaertner, Tobias Scheffer, and Stefan Wrobel. Efficient co-regularized
least squares regression.
In
ICML06, 23rd International Conference on Machine Learning
,
Pittsburgh, USA, 2006.