Mental models vs cell schemes [PDF]
Investigações em Ensino de Ciências, 2002 Student's mental representations of cell are examined from the perspectives of Johnson-Laird's mental models theory five years after instruction. The observed identity and stability of such representations are then interpreted under the framework of ...
Mª Luz Rodríguez Palmero +1 more
doaj +3 more sources
Research on Power System Transient Stability Assessment Based on Statistical Learning Theory [PDF]
Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering, 2016 Wanyu Xu
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Existence, Uniqueness, and Stability Analysis of the Probabilistic Functional Equation Emerging in Mathematical Biology and the Theory of Learning [PDF]
Symmetry, 2021 Probabilistic functional equations have been used to analyze various models in computational biology and learning theory. It is worth noting that they are linked to the symmetry of a system of functional equations’ transformation. Our objective is to propose a generic probabilistic functional equation that can cover most of the mathematical models ...
Ali Turab, Won-Gil Park, Wajahat Ali
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On the stability of two functional equations arising in mathematical biology and theory of learning [PDF]
Creative Mathematics and Informatics, 2019 Aynur Şahin +2 more
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Stability Theory of Universal Learning Network
IEEJ Transactions on Electronics, Information and Systems, 1996 Kotaro Hirasawa +2 more
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Stability of ratio limits for a system of differential equations modelling a learning theory
Journal of Differential Equations, 1974 Alan R. Hausrath
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A Comprehensive Survey of Continual Learning: Theory, Method and Application [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 To cope with real-world dynamics, an intelligent system needs to incrementally acquire, update, accumulate, and exploit knowledge throughout its lifetime.
Liyuan Wang +3 more
semanticscholar +1 more source
Learning Theory for Dynamical Systems [PDF]
SIAM Journal on Applied Dynamical Systems, 2022 The task of modelling and forecasting a dynamical system is one of the oldest problems, and it remains challenging. Broadly, this task has two subtasks - extracting the full dynamical information from a partial observation; and then explicitly learning ...
Tyrus Berry, Suddhasattwa Das
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Using SHAP Values and Machine Learning to Understand Trends in the Transient Stability Limit [PDF]
IEEE Transactions on Power Systems, 2023 Machine learning (ML) for transient stability assessment has gained traction due to the significant increase in computational requirements as renewables connect to power systems.
Robert I. Hamilton, P. Papadopoulos
semanticscholar +1 more source
, 2021 Li$_xTM$O$_2$ (TM={Ni, Co, Mn}) are promising cathodes for Li-ion batteries, whose electrochemical cycling performance is strongly governed by crystal structure and phase stability as a function of Li content at the atomistic scale. Here, we use Li$_x$CoO$_2$ (LCO) as a model system to benchmark a scale-bridging framework that combines density ...
Gregory H. Teichert +5 more
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