An Introduction to Advanced Machine Learning: Meta-Learning Algorithms, Applications, and Promises-Reference-Cited by-同舟云学术

An Introduction to Advanced Machine Learning: Meta-Learning Algorithms, Applications, and Promises

Published:2020 Issue: Volume: Page:129-144
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Mohammadi Farid Ghareh,Amini M. Hadi,Arabnia Hamid R.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-34094-0_6

Reference46 articles.

1. J. Schmidhuber, Evolutionary principles in self-referential learning, Diploma thesis, 1987

2. F.G. Mohammadi, M.H. Amini, H.R. Arabnia, Evolutionary computation, optimization and learning algorithms for data science (2019). arXiv preprint arXiv: 1908.08006

3. F.G. Mohammadi, M.H. Amini, H.R. Arabnia, Applications of nature-inspired algorithms for dimension reduction: enabling efficient data analytics (2019). arXiv preprint arXiv: 1908.08563

4. M.H. Amini, Distributed computational methods for control and optimization of power distribution networks, PhD Dissertation, Carnegie Mellon University, 2019

5. M.H. Amini, J. Mohammadi, S. Kar, Distributed holistic framework for smart city infrastructures: tale of interdependent electrified transportation network and power grid. IEEE Access 7, 157535–157554 (2019)

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