Results 31 to 40 of about 1,579,753 (313)
Machine-learning potential of a single pendulum
Physical Review E, 2022 Reservoir Computing offers a great computational framework where a physical system can directly be used as computational substrate. Typically a "reservoir" is comprised of a large number of dynamical systems, and is consequently high-dimensional. In this work, we use just a single simple low-dimensional dynamical system, namely a driven pendulum, as a ...
Swarnendu Mandal +2 more
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Fine-Grained Assessment of Children’s Text Comprehension Skills
Frontiers in Psychology, 2019 Text comprehension is an essential skill for achievement in personal, academic, and professional life. Therefore, it is tremendously important that children’s text comprehension skills are actively monitored from an early stage.
Marije den Ouden +4 more
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Earth, Planets and Space, 2023 Physics-based simulations are important for elucidating the fundamental mechanisms behind the time-varying complex ionospheric conditions, such as ionospheric potential, against unprecedented solar wind variations incident on the Earth’s magnetosphere ...
Ryuho Kataoka +2 more
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Metals, 2023 With the continuous improvement of machine learning methods, building the interatomic machine learning potential (MLP) based on the datasets from quantum mechanics calculations has become an effective technical approach to improving the accuracy of ...
Jiawei Jiang +3 more
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The limits and potentials of deep learning for robotics [PDF]
The International Journal of Robotics Research, 2018 The application of deep learning in robotics leads to very specific problems and research questions that are typically not addressed by the computer vision and machine learning communities. In this paper we discuss a number of robotics-specific learning, reasoning, and embodiment challenges for deep learning.
Niko Sünderhauf +10 more
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The Learning Potential Assessment-2 in Yaqui Native American children
Journal of Educational, Cultural and Psychological Studies, 2019 The aim of this study was to determine if the Learning Potential Assessment-2 (EPA-2) can be an adequate instrument for assessing the learning potential in Yaqui Native American children living in Sonora, Mexico.
Frannia Aglaé Ponce-Zaragoza +1 more
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Learning Potential in Subgoal-Based Reward Shaping
IEEE Access, 2023 Human knowledge can reduce the number of iterations required to learn in reinforcement learning. Though the most common approach uses trajectories, it is difficult to acquire them in certain domains.
Takato Okudo, Seiji Yamada
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Adaptation potential of medical students in distance learning
Учёные записки Санкт-Петербургского государственного медицинского университета им. Акад. И.П. Павлова, 2022 Introduction. The coronavirus pandemic provoked a sharp transition from the classical form of education to distance learning, which has become widespread over the past year and a half.
O. V. Toussova, O. V. Pavlova
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Diagnosis of hearing deficiency using EEG based AEP signals: CWT and improved-VGG16 pipeline [PDF]
PeerJ Computer Science, 2021 Hearing deficiency is the world’s most common sensation of impairment and impedes human communication and learning. Early and precise hearing diagnosis using electroencephalogram (EEG) is referred to as the optimum strategy to deal with this issue. Among
Md Nahidul Islam +7 more
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Perturbed learning automata in potential games [PDF]
IEEE Conference on Decision and Control and European Control Conference, 2011 This paper presents a reinforcement learning algorithm and provides conditions for global convergence to Nash equilibria. For several reinforcement learning schemes, including the ones proposed here, excluding convergence to action profiles which are not Nash equilibria may not be trivial, unless the step-size sequence is appropriately tailored to the ...
Georgios C. Chasparis +2 more
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