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Meta-learning by the Baldwin effect [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018 The scope of the Baldwin effect was recently called into question by two papers that closely examined the seminal work of Hinton and Nowlan. To this date there has been no demonstration of its necessity in empirically challenging tasks. Here we show that the Baldwin effect is capable of evolving few-shot supervised and reinforcement learning mechanisms,
Chrisantha Fernando +8 more
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Journal of Functional Morphology and Kinesiology, 2023 Mild traumatic brain injury (mTBI) is the most common brain injury, seen in sports, fall, vehicle, or workplace injuries. Concussion is the most common type of mTBI. Assessment of impairments from concussion is evolving, with oculomotor testing suggested
Alan J. Pearce +3 more
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Journal of Functional Morphology and Kinesiology, 2023 The Yo-Yo Intermittent Test is frequently used to monitor changes in athletes’ performance in response to different interventions. However, the question remains as to whether, and to what extent, retakes of this test would contribute to these changes ...
Erika Zemková, Martin Pacholek
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IEEE Access, 2023 Information literacy is a basic ability for college students to adapt to social needs at present, and it is also a necessary quality for self-learning and lifelong learning.
Yong Shi +3 more
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Mathematics, 2023 Assuming the significance of sustainability, it is considered necessary to ensure the conservation of our natural resources, in addition to minimizing waste. To promote significant sustainable effects, factors including production, transportation, energy
Basim S. O. Alsaedi +3 more
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Productivity Analysis of Documentation Based on 3D Model in Plant Facility Construction Project
Applied Sciences, 2020 In off-site construction, production of fabrication drawings has a very important impact on productivity. Documentation using 3D model is one of the great advantages of using BIM.
Mooyoung Yoo, Namhyuk Ham
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Mathematics, 2021 This paper considers a single-machine scheduling problem with past-sequence-dependent delivery times and the truncated sum-of-processing-times-based learning effect.
Jin Qian, Yu Zhan
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Simulation of learning effects of adaptive learning
Procedia Computer Science, 2020 Abstract In this research, we propose a teaching simulation on the complex doubly structural network with adaptive learning and verify the effect of the adaptive learning environment. The teaching simulation on the complex doubly structural network is a method to verify the learning effect in the learning environment.
Keisuke Kuniyoshi, Setsuya Kurahashi
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Cogent Education, 2023 In recent years, online learning has been widely used than before. However, it depends on student’s learning initiative and lacks of teacher-student interaction, which cannot bring desired learning performance. In our physiology teaching practice to “5 +
Xiaolan Zhang +5 more
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Effectively learning spatial indices [PDF]
Proceedings of the VLDB Endowment, 2020 Machine learning, especially deep learning, is used increasingly to enable better solutions for data management tasks previously solved by other means, including database indexing. A recent study shows that a neural network can not only learn to predict the disk address of the data value associated with a one-dimensional search key but also outperform ...
Qi, Jianzhong +3 more
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