Random Resampling in the One-Versus-All Strategy for Handling Multi-class Problems

Author:

Aridas Christos K.,Alexandropoulos Stamatios-Aggelos N.,Kotsiantis Sotiris B.,Vrahatis Michael N.

Publisher

Springer International Publishing

Reference30 articles.

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2. Cheong, S., Oh, S.H., Lee, S.Y.: Support vector machines with binary tree architecture for multi-class classification. Neural Inf. Process. Lett. Rev. 2(3), 47–51 (2004)

3. Chmielnicki, W., Stąpor, K.: Using the one-versus-rest strategy with samples balancing to improve pairwise coupling classification. Int. J. Appl. Math. Comput. Sci. 26(1), 191–201 (2016)

4. Christianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press, Cambridge (2000)

5. Crammer, K., Singer, Y.: On the learnability and design of output codes for multiclass problems. Mach. Learn. 47(2), 201–233 (2002)

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