1. Hearst MA (1998) Trends and controversies: Support vector machines. IEEE Intelligent Syst 13(4): 18–28
2. Kwok JT-Y (1998) Support vector mixture for classification and regression problems. In: Proceedings of the 14th International Conference on Pattern Recognition, vol. 1.1998 IEEE Computer Society, pp 255–258
3. Schohn G, Conhn D (2000) Less is more: active learning with support vector machines. In Proceedings of the 17th international conference on machine learning, pp 839–846, Morgan Kaufmann, San Francisco
4. Dumais S, Platt J, Heckerman D, Sahami M (1998) Inductive learning algorithms and representations for text categorization. In: Proceedings of the 7th international conference on information and knowledge management, ACM Press, pp 148–155
5. Szummer M (2002) Learning from partially labeled data. PhD thesis, Massachusetts Institute of Technology