A Cost-Sensitive Loss Function for Machine Learning

Author:

Chen Shihong,Liu Xiaoqing,Li Baiqi

Publisher

Springer International Publishing

Reference33 articles.

1. Zhu, M.: Comparison Research of SVR Algorithms Based on Several Loss Functions. East China Normal University (2012)

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3. Shalev-Shwartz, S., Shamir, O., Sridharan, K.: Learning linear and kernel predictors with the 0–1 loss function. In: International Joint Conference on Artificial Intelligence, pp. 2740–2745 (2011)

4. Zhao, H., Sinha, A.P., Bansal, G.: An extended tuning method for cost-sensitive regression and forecasting. Decis. Support Syst. 51, 372–383 (2011)

5. Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer, New York (1995). https://doi.org/10.1007/978-1-4757-3264-1

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