Abstract
Recently, multi-instance classification algorithm BP-MIP and multi-instance regression algorithm BP-MIR both based on neural networks have been proposed. In this paper, neural network ensemble techniques are introduced to solve multi-instance learning problems, where BP-MIP ensemble and BP-MIR ensemble are constructed respectively. Experiments on benchmark and artificial data sets show that ensembles of multi-instance neural networks are superior to single multi-instance neural networks in solving multi-instance problems.
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Amar, R. A., Dooly, D. R., Goldman, D. R. and Zhang, Q.: Multiple-instance learning of real-valued data, In: Proceedings of the 18th International Conference on Machine Learning, pp. 3–10, Williamstown, MA, 2001.
Dietterich, T. G., Lathrop, R. H. and Lozano-Pérez, T.: Solving the multiple-instance problem with axis-parallel rectangles, Artificial Intelligence, 89(1–2) (1997), 31–71.
Efron, B. and Tibshirani, R.: An Introduction to the Bootstrap, Chapman & Hall, New York, 1993.
Maron, O.: Learning from Ambiguity, Ph.D. thesis, Department of Electrical Engineering and Computer Science, MIT, June 1998.
Maron, O. and Lozano-Pérez, T.: A framework for multiple-instance learning, In: M. I. Jordan and M. J. Kearns, (eds.), Advances in Neural Information Processing Systems 10, pp. 570–576, MIT Press, Cambridge, MA, 1998.
Rumelhart, D. E., Hinton, G. E. and Williams, R. J.: Learning internal representations by error propagation, Nature, 323(9) (1986), 533–536.
Zhang, M.-L. and Zhou, Z.-H.: A neural network based multi-instance regression algorithm, Journal of Software, 14(7) (2003), 1238–1242. (in Chinese)
Zhang, M.-L. and Zhou, Z.-H.: Improve multi-instance neural networks through feature selection, Neural Processing Letters, 19(1) (2004): 1–10.
Zhou, Z.-H. and Zhang, M.-L.: Neural networks for multi-instance learning. Technical Report, AI Lab, Computer Science & Technology Department, Nanjing University, Nanjing, China, Aug. 2002.
Zhou, Z.-H. and Zhang, M.-L.: Ensembles of multi-instance learners. In: N. Lavrač, D. Gamberger, H. Blockeel and L. Todorovski, (eds.), Lecture Notes in Artificial Intelligence 2837, pp. 492–502, Springer-Verlag, Berlin, 2003.
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Zhang, ML., Zhou, ZH. (2005). Ensembles of Multi-Instance Neural Networks. In: Shi, Z., He, Q. (eds) Intelligent Information Processing II. IIP 2004. IFIP International Federation for Information Processing, vol 163. Springer, Boston, MA. https://doi.org/10.1007/0-387-23152-8_58
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DOI: https://doi.org/10.1007/0-387-23152-8_58
Publisher Name: Springer, Boston, MA
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