References
- R. Duda, et al. 'Pattern Classification' 2nd edition, John Wiley&Sons, 2001
- T. Zhang 'Some Asymptotic Results Concerning the Value of Unlabeled Data' NIPS 99 Workshop on Using Unlabeled Data for Supervised Learning, 1999
- Y. Zhou and S. Goldman 'Enhancing Supervised Learning with Unlabeled Data' 17th Int'l Conf. On Machine Learning, pp.327-334, 2000
- Vittorio Castelli and Thomas M. Cover, 'On the Exponential Value of Labeled Samples' Pattern Recognition Letters, Vol.16, pp.105-111, 1995 https://doi.org/10.1016/0167-8655(94)00074-D
- B. Shahshahani and D. Landgrebe 'The Effect of Unlabeled Samples in Reducing the Small Sample Size Problem and Mitigating the Hughes Phenomenon' IEEE Trans. On Geoscience and Remote Sensing, Vol.32, No.5, 1087-1095, 1994 https://doi.org/10.1109/36.312897
- F. De Comite et al. 'Positive and Unlabeled Examples Help Learning' Tenth Int'l Conf. on Algorithmic Learning Theory, pp.219-230, 1999
- Sally Goldman and Yan Zhou 'Enhancing Supervised Learning with Unlabeled Data' ICML, 2000
- T. Hofmann 'Text Categorization with Labeled and Unlabeled Data: A Generative Model Approach' NIPS 99 Workshop on Using Unlabeled Data for Supervised Learning, 1999
- K. Nigam, AK. McCallum, S. Thrun, and T. Mitchell 'Text Classification from Labeled and Unlabeled Documents Using EM' Machine Learning, Vol.39, pp.103-134, 2000 https://doi.org/10.1023/A:1007692713085
- T. Mitchell 'The Role of Unlabeled Data in Supervised Learning' 6th Int'l Colloquium on Cognitive Science, 1999
- A. P. Dempster, N. M. Laird, and D. B. Rubin 'Maximum Likelihood from Incomplete Data via the EM Algorithm' Journal of Royal Statistical Society, Vol.39, pp.1-38, 1977
- Xing Yi; Changshui Zhang; Jingdong Wang, 'Multi-view EM algorithm and its application to color image segmentation' IEEE International Conference on Multimedia and Expo., 2004
- Avrim Blum and Tom Mitchell 'Combining Labeled and Unlabeled Data with Co-Training', COLT, 1998 https://doi.org/10.1145/279943.279962
- Kamal Nigam and Rayid Ghani 'Analyzing the Effectiveness and Applicability of Co-training', CIKM, 2000 https://doi.org/10.1145/354756.354805
- A. Levin and P. Viola and Y. Freund, 'Unsupervised improvement of visual detectors using co-training' the Nineth IEEE International Conference on Computer Vision, 2003
- Rong Yan and Naphade, M. 'Multi-Modal Video Concept Extraction Using Co-Training' IEEE International Conference on Multimedia and Expo., 2005 https://doi.org/10.1109/ICME.2005.1521473
- D. Cohn et al 'Active Learning with Statistical Models' Journal of Artificial Intelligence Research, Vol.4, pp.129-145, 1996
- R. Liere and P. Tadepalli 'Active Learning with Committees for Text Categorization' 14th National Conf. on Artificial Intelligence, pp.591-596, 1997
- Tur, G., Schapire, R.E., and Hakkani-Tur, D. 'Active learning for spoken language understanding' IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003
- Riccardi, G. and Hakkani-Tur, D. 'Active learning: theory and applications to automatic speech recognition' IEEE Transactions on Speech and Audio Processing, 2005 https://doi.org/10.1109/TSA.2005.848882
- Tom Mitchell, 'Machine Learning' McGraw Hill, 1997