anytime algorithms for learning anytime classifiers saher ... - Technion

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Technion - Computer Science Department - Ph.D. Thesis PHD-2008-12 - 2008 Yang, Y., Webb, G., Korb, K., & Ting, K. (2007). Classifying under computational resource constraints: anytime classification using probabilistic estimators. Machine Learning, 69, 35–53. Zadrozny, B., Langford, J., & Abe, N. (2003). Cost-sensitive learning by costproportionate example weighting. In Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM-2003), Melbourne, Florida, USA. Zhu, X., Wu, X., Khoshgoftaar, T., & Yong, S. (2007). An empirical study of the noise impact on cost-sensitive learning. In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-2007), Hyderabad, India. 166
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anytime algorithms for learning anytime classifiers saher ... - Technion

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