A Boosting Approach to Multiple Instance Learning

Author:

Auer Peter,Ortner Ronald

Publisher

Springer Berlin Heidelberg

Reference24 articles.

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2. Andrews, S., Tsochantaridis, I., Hofmann, T.: Support vector machines for multiple instance learning. In: Advances in Neural Information Processing Systems 15. Papers from Neural Information Processing Systems (NIPS 2002), MIT Press, Cambridge (2002)

3. Auer, P.: On learning from multi-instance examples: Empirical evaluation of a theoretical approach. In: Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), pp. 21–29. Morgan Kaufmann, San Francisco (1997)

4. Auer, P., Long, P.M., Srinivasan, A.: Approximating hyper-rectangles: Learning and pseudorandom sets. J. Comput. Syst. Sci. 57(3), 376–388 (1998)

5. Blake, C.L., Merz, C.J.: UCI repository of machine learning databases. Irvine, CA: University of California, Department of Information and Computer Science (1998), http://www.ics.uci.edu/~mlearn/MLRepository.html

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