Cost-sensitive Multiclass Classification Risk Bounds
暂无分享,去创建一个
Csaba Szepesvári | Mohammad Ghavamzadeh | Bernardo Ávila Pires | Csaba Szepesvari | M. Ghavamzadeh | B. A. Pires | B. '. Pires
[1] Leonard M. Adleman,et al. Proof of proposition 3 , 1992 .
[2] Hans Ulrich Simon,et al. Robust Trainability of Single Neurons , 1995, J. Comput. Syst. Sci..
[3] Yi Lin. Multicategory Support Vector Machines, Theory, and Application to the Classification of . . . , 2003 .
[4] Lorenzo Rosasco,et al. Are Loss Functions All the Same? , 2004, Neural Computation.
[5] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[6] Tong Zhang,et al. Statistical Analysis of Some Multi-Category Large Margin Classification Methods , 2004, J. Mach. Learn. Res..
[7] Ambuj Tewari,et al. On the Consistency of Multiclass Classification Methods , 2007, J. Mach. Learn. Res..
[8] Michael I. Jordan,et al. Convexity, Classification, and Risk Bounds , 2006 .
[9] Tao Sun,et al. Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss , 2006, J. Mach. Learn. Res..
[10] Yufeng Liu,et al. Fisher Consistency of Multicategory Support Vector Machines , 2007, AISTATS.
[11] Ingo Steinwart. How to Compare Different Loss Functions and Their Risks , 2007 .
[12] Mark D. Reid,et al. Surrogate regret bounds for proper losses , 2009, ICML '09.
[13] Lorenzo Rosasco,et al. Multiclass Learning with Simplex Coding , 2012, NIPS.
[14] Peng Sun,et al. The Convexity and Design of Composite Multiclass Losses , 2012, ICML.
[15] Nathan Srebro,et al. Minimizing The Misclassification Error Rate Using a Surrogate Convex Loss , 2012, ICML.
[16] Shivani Agarwal,et al. Classification Calibration Dimension for General Multiclass Losses , 2012, NIPS.