Instance-Based Classification Methods

Author:

Herrera Francisco,Ventura Sebastián,Bello Rafael,Cornelis Chris,Zafra Amelia,Sánchez-Tarragó Dánel,Vluymans Sarah

Publisher

Springer International Publishing

Reference87 articles.

1. Amar, R.A., Dooly, D.R., Goldman, S.A., Zhang, Q.: Multiple-instance learning of real-valued data. In: Brodley, C., Danyluk, A. (eds.) Proceedings of the 18th International Conference on Machine Learning (ICML 2001), pp. 3–10. Morgan Kaufmann Publishers, San Francisco (2001)

2. Andrews, S., Tsochantaridis, I., Hofmann, T.: Support vector machines for multiple-instance learning. In: Becker, S., Thrun, S., Obermayer, K. (eds.) Advances in Neural Information Processing Systems, pp. 561–568. MIT Press, Cambridge (2002)

3. Babenko, B., Belongie, S., Yang, M.H.: Visual tracking with online multiple instance learning. In: Flynn, P., Mortensen, E. (eds.) Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2009), pp. 983–990. IEEE, Los Alamitos (2009)

4. Bascom, J.: Darwin’s theory of the origin of species. Am. Theol. Rev. 3, 349–379 (1871)

5. Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, New York (2006)

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