Results 1 to 10 of about 69,407 (160)
On Solutions and Stability of Stochastic Functional Equations Emerging in Psychological Theory of Learning [PDF]
Axioms, 2022 We show how to apply the well-known fixed-point approach in the study of the existence, uniqueness, and stability of solutions to some particular types of functional equations. Moreover, we also obtain the Ulam stability result for them.
Ali Turab, Janusz Brzdęk, Wajahat Ali
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Evaluation of Goaf Stability Based on Transfer Learning Theory of Artificial Intelligence [PDF]
IEEE Access, 2019 Current artificial intelligence models for evaluating goaf stability in underground metal mines need a large amount of sample data for training, and their accuracy declines with small sample size. With the aim of solving this problem, this paper proposes
Yaguang Qin +4 more
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The impact of cognitive schema on learning transfer ability and stability of classical Chinese poetry. [PDF]
PLoS ONEClassical Chinese poetry is a condensed vessel of Chinese culture, bearing the core ethos of history, philosophy, and ethics. The symbolic imagery system in poetry facilitates the construction of cognitive schemata, thereby advancing transfer learning ...
Dawei Liu, Ping He, Huifen Yan
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Voltage instability remains a persistent challenge in Nigeria’s high-voltage grid, including the Birnin Kebbi 330 kV corridor. Aging infrastructure, increasing load, and limited high-resolution telemetry hinder conventional analysis. This review explores how Statistical Learning Theory (SLT), with key concepts like empirical risk minimization ...
YABANI GELWASA GALADIM +2 more
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International Journal of Analysis and Applications, 2023 The psychological learning theory (PLT) in the formation of moral verdict is represented by the choice-practice paradigm. It involves weighing the effects of various options and choosing one to put into practice.
Doha A. Kattan, Hasanen A. Hammad
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Lyapunov theory demonstrating a fundamental limit on the speed of systems consolidation [PDF]
Physical Review ResearchThis article is part of the Physical Review Research collection titled Physics of Neuroscience. The nervous system reorganizes memories from an early site to a late site, a commonly observed feature of learning and memory systems known as systems ...
Alireza Alemi +2 more
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Designing stable neural identifier based on Lyapunov method [PDF]
Journal of Artificial Intelligence and Data Mining, 2015 The stability of learning rate in neural network identifiers and controllers is one of the challenging issues which attracts great interest from researchers of neural networks.
F. Alibakhshi +3 more
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COVID-19: Data-Driven Mean-Field-Type Game Perspective
Games, 2020 In this article, a class of mean-field-type games with discrete-continuous state spaces is considered. We establish Bellman systems which provide sufficiency conditions for mean-field-type equilibria in state-and-mean-field-type feedback form.
Hamidou Tembine
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Towards a Unified Theory of Learning and Information
Entropy, 2020 In this paper, we introduce the notion of “learning capacity” for algorithms that learn from data, which is analogous to the Shannon channel capacity for communication systems.
Ibrahim Alabdulmohsin
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Machine learned synthesizability predictions aided by density functional theory
Communications Materials, 2022 In data-driven approaches for materials discovery, it is essential to account for phase stability when predicting synthesizability. Here, by combining density functional theory calculations and machine learning, the authors predict the synthesizability ...
Andrew Lee +6 more
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