UCI machine learning repository, 2007. ,
Regularization and semi-supervised learning on large graphs, Proceeding of the 17th Annual Conference on Learning Theory, pp.624-638, 2004. ,
Manifold regularization: A geometric framework for learning from labeled and unlabeled examples, Journal of Machine Learning Research, vol.7, pp.2399-2434, 2006. ,
Semi-supervised support vector machines, Advances in Neural Information Processing Systems 11, pp.368-374, 1999. ,
Stability and generalization, Journal of Machine Learning Research, vol.2, pp.499-526, 2002. ,
LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, 2001. ,
DOI : 10.1145/1961189.1961199
Stability of transductive regression algorithms, Proceedings of the 25th international conference on Machine learning, ICML '08, pp.176-183, 2008. ,
DOI : 10.1145/1390156.1390179
Kernels and Regularization on Graphs, Proceedings of the 16th Annual Conference on Learning Theory and the 7th Workshop on Kernel Machines, 2003. ,
DOI : 10.1007/978-3-540-45167-9_12
The Nature of Statistical Learning Theory, 1995. ,
Support Vector Machines, Reproducing Kernel Hilbert Spaces, and Randomized GACV, pp.69-88, 1999. ,
Semi-supervised learning literature survey, 2008. ,
Semisupervised learning using gaussian fields and harmonic functions, Proceedings of the 20th International Conference on Machine Learning, pp.912-919, 2003. ,