Future Perspective

Author:

Ellis Dan,Virtanen Tuomas,Plumbley Mark D.,Raj Bhiksha

Publisher

Springer International Publishing

Reference47 articles.

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2. Auer, P., Ortner, R.: A boosting approach to multiple instance learning. In: European Conference on Machine Learning, pp. 63–74. Springer, Berlin (2004)

3. Aytar, Y., Vondrick, C., Torralba, A.: Soundnet: learning sound representations from unlabeled video. In: Advances in Neural Information Processing Systems, pp. 892–900 (2016)

4. Babenko, B.: Multiple instance learning: algorithms and applications. Technical Report, Department of Computer Science and Engineering, University of California, San Diego (2008)

5. Bandyopadhyay, S., Ghosh, D., Mitra, R., Zhao, Z.: MBSTAR: multiple instance learning for predicting specific functional binding sites in microRNA targets. Sci. Rep. 5, 8004 (2015)

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1. Intelligent Hearing Instruments—Trends and Challenges;Modern Acoustics and Signal Processing;2020

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