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Reviews about "Learning (I.2.6)":
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A survey of machine learning for big code and naturalness
Allamanis M., Barr E., Devanbu P., Sutton C. ACM Computing Surveys 51(4): 1-37, 2018. Type: Article
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Simplicity is best: addressing the computational cost of machine learning classifiers in constrained edge devices
Gómez-Carmona O., Casado-Mansilla D., López-de-Ipiña D., García-Zubia J. IoT 2019 (Proceedings of the 9th International Conference on the Internet of Things, Bilbao, Spain, Oct 22-25, 2019) 1-8, 2019. Type: Proceedings
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Deep learning for medical decisions
Kose U., Deperlioglu O., Alzubi J., Patrut B., Springer International Publishing, New York, NY, 2020. 189 pp. Type: Book (978-9-811563-24-9)
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Automated machine learning: methods, systems, challenges
Hutter F., Kotthoff L., Vanschoren J., Springer International Publishing, New York, NY, 2019. 219 pp. Type: Book (978-3-030053-17-8)
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Deep learning applications for cyber security
Alazab M., Tang M., Springer International Publishing, New York, NY, 2019. 246 pp. Type: Book (978-3-030130-56-5)
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Bandit algorithms
Lattimore T., Szepesvári C., Cambridge University Press, Cambridge, UK, 2020. 518 pp. Type: Book (978-1-108486-82-8)
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Computational methods for deep learning: theoretic, practice and applications
Yan W., Springer International Publishing, Cham, Switzerland, 2021. 211 pp. Type: Book (978-3-030610-80-7), Reviews: (3 of 3)
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