Results 231 to 240 of about 997,994 (266)
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2018
This chapter discusses basic concepts from control theory and machine learning to facilitate a formal understanding of animal learning and motor control. It first distinguishes between feedback and feed-forward control strategies, and later introduces the classification of machine learning applications into supervised, unsupervised, and reinforcement ...
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This chapter discusses basic concepts from control theory and machine learning to facilitate a formal understanding of animal learning and motor control. It first distinguishes between feedback and feed-forward control strategies, and later introduces the classification of machine learning applications into supervised, unsupervised, and reinforcement ...
openaire +1 more source
Machine learning for microbiologists
Nature Reviews Microbiology, 2023Andrew Maltez Thomas +2 more
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Iterative learning control and repetitive control
International Journal of Control, 2011Chris T. Freeman, Ying Tan 0001
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Deep learning shapes single-cell data analysis
Nature Reviews Molecular Cell Biology, 2022Dong Xu, Qin Ma
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Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges
IEEE Communications Surveys and Tutorials, 2021Walid Saad, Ekram Hossain, Zhu Han
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Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06), 2006
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A Comprehensive Survey on Transfer Learning
Proceedings of the IEEE, 2021Dongbo Xi, Fuzhen Zhuang, Zhiyuan Qi
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A Survey on Multi-Task Learning
IEEE Transactions on Knowledge and Data Engineering, 2022Yang Qiang, Yu Zhang
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