Geoscience Reference
In-Depth Information
[75] Andrew B. Goldberg, Xiaojin Zhu, Aarti Singh, Zhiting Xu, and Robert Nowak. Multi-
manifold semi-supervised learning. In
Twelfth International Conference on Artificial Intelligence
and Statistics (AISTATS)
, 2009.
[76] Andrew B. Goldberg, Xiaojin Zhu, and Stephen Wright. Dissimilarity in graph-based semi-
supervised classification. In
Eleventh International Conference on Artificial Intelligence and
Statistics (AISTATS)
, 2007.
[77] Sally Goldman and Yan Zhou. Enhancing supervised learning with unlabeled data. In
Proc. 17th International Conf. on Machine Learning
, pages 327-334. Morgan Kaufmann, San
Francisco, CA, 2000.
[78] Leo Grady and Gareth Funka-Lea. Multi-label image segmentation for medical applications
based on graph-theoretic electrical potentials. In
ECCV 2004 workshop
, 2004.
[79] Yves Grandvalet and Yoshua Bengio. Semi-supervised learning by entropy minimization.
In Lawrence K. Saul, Yair Weiss, and Léon Bottou, editors,
Advances in Neural Information
Processing Systems 17
. MIT Press, Cambridge, MA, 2005.
[80] G.R. Haffari and A. Sarkar. Analysis of semi-supervised learning with the Yarowsky algo-
rithm. In
23rd Conference on Uncertainty in Artificial Intelligence (UAI)
, 2007.
[81] T. Hastie, R. Tibshirani, and J. Friedman.
The Elements of Statistical Learning
. Springer, 2001.
[82] Matthias Hein, Jean-Yves Audibert, and Ulrike von Luxburg. Graph Laplacians and
their convergence on random neighborhood graphs.
Journal of Machine Learning Research
,
8( Jun):1325-1368, 2007.
[83] Matthias Hein and Markus Maier. Manifold denoising. In
Advances in Neural Information
Processing Systems (NIPS) 19
, 2006.
[84] Mark Herbster, Massimiliano Pontil, and Sergio Rojas Galeano. Fast prediction on a tree. In
D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou, editors,
Advances in Neural Information
Processing Systems 21
. 2009.
[85] Shen-Shyang
Ho
and
Harry
Wechsler.
Query
by
transduction.
IEEE Trans-
action
on
Pattern Analysis
and Machine
Intelligence
,
30(9):1557-1571,
2008.
[86] Te-Ming Huang, Vojislav Kecman, and Ivica Kopriva.
Kernel BasedAlgorithms forMiningHuge
Data Sets: Supervised, Semi-supervised, and Unsupervised Learning (Studies in Computational
Intelligence)
. Springer-Verlag New York, Inc., Secaucus, NJ, USA, 2006.
[87] T. Jaakkola, M. Meila, and T. Jebara. Maximum entropy discrimination.
Neural Information
Processing Systems, 12
, 12, 1999.