1. Belkin M, Niyogi P (2003) Laplacian eigenmaps for dimensionality reduction and data representation. Neural Comput 15:1373–1396
2. Belkin M, Niyogi P, Sindhwani V (2006) Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. J Mach Learn Res 7:2399–2434
3. Campbell C, Cristianini N, Smola A (2000) Query learning with large margin classifiers. In: Proceedings of the international conference on machine learning, pp 111–118
4. Cohn D, Atlas L, Ladner R (1994) Improving generalization with active learning. Mach Learn 15:201–221
5. Dagan I, Engelson SP (1995) Committee-based sampling for training probabilistic classifiers. In: Proceedings of the international conference on machine learning, pp 150–157