Results 31 to 40 of about 1,153,224 (274)
The Impact of a Construction Play on 5- to 6-Year-Old Children’s Reasoning About Stability
Frontiers in Psychology, 2020 TheoryYoung children have an understanding of basic science concepts such as stability, yet their theoretical assumptions are often not concerned with stability.
Anke Maria Weber +2 more
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Probability Based Stochastic Iterative Learning Control for Batch Processes With Actuator Faults
IEEE Access, 2019 This paper proposes a new stochastic composite iterative learning control for batch processes with actuator faults that happen with a certain kind of probability.
Limin Wang, Bingyun Li
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Dynamic ILC for Linear Repetitive Processes Based on Different Relative Degrees
Mathematics, 2022 The current research on iterative learning control focuses on the condition where the system relative degree is equal to 1, while the condition where the system relative degree is equal to 0 or greater than 1 is not considered.
Lei Wang +3 more
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Stability theory of game-theoretic group feature explanations for machine learning models
, 2021 82 pages, 43 figures. Typos fixed.
Miroshnikov, Alexey +3 more
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The Bayesian Stability Zoo [PDF]
arXiv, 2023 We show that many definitions of stability found in the learning theory literature are equivalent to one another. We distinguish between two families of definitions of stability: distribution-dependent and distribution-independent Bayesian stability.
arxiv
Discovery of 2D Materials using Transformer Network‐Based Generative Design
Advanced Intelligent Systems, 2023 Two‐dimensional (2D) materials offer great potential in various fields like superconductivity, quantum systems, and topological materials. However, designing them systematically remains challenging due to the limited pool of fewer than 100 experimentally
Rongzhi Dong +3 more
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BACKPROPAGATION TRAINING ALGORITHM WITH ADAPTIVE PARAMETERS TO SOLVE DIGITAL PROBLEMS [PDF]
ICTACT Journal on Soft Computing, 2011 An efficient technique namely Backpropagation training with adaptive parameters using Lyapunov Stability Theory for training single hidden layer feed forward network is proposed.
R. Saraswathi
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Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms [PDF]
arXiv, 2023 Many machine learning tasks can be formulated as a stochastic compositional optimization (SCO) problem such as reinforcement learning, AUC maximization, and meta-learning, where the objective function involves a nested composition associated with an expectation. While a significant amount of studies has been devoted to studying the convergence behavior
arxiv
Complexity, 2022 This paper proposes an adaptive formation tracking control algorithm optimized by Q-learning scheme for multiple mobile robots. In order to handle the model uncertainties and external disturbances, a desired linear extended state observer is designed to ...
Chen Zhang +4 more
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Identifying an efficient, thermally robust inorganic phosphor host via machine learning
Nature Communications, 2018 Identifying phosphors with good thermal stability and quantum efficiency is a prerequisite to improve the performance of white LED light sources. Here, a combined machine learning and density functional theory method is introduced to identify next ...
Ya Zhuo +4 more
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