Reinforcement learning for optimal control of stochastic nonlinear systems
AIChE Journal, Volume 71, Issue 7, July 2025.Abstract A reinforcement learning (RL) approach is developed in this work for nonlinear systems under stochastic uncertainty. A stochastic control Lyapunov function (SCLF) candidate is first constructed using neural networks (NNs) as an approximator to the value function, and then a control policy designed using this SCLF is developed to ensure the ...
Xinji Zhu, Yujia Wang, Zhe Wu
wiley +1 more source
Nonnegative matrix factorization: a blind spectra separation method for <italic>in vivo</italic> fluorescent optical imaging [PDF]
, 2010 Anne-Sophie Montcuquet +4 more
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Extended Multivariate EGARCH Model: A Model for Zero‐Return and Negative Spillovers
Journal of Forecasting, Volume 44, Issue 4, Page 1266-1279, July 2025.ABSTRACT This paper introduces an extended multivariate EGARCH model that overcomes the zero‐return problem and allows for negative news and volatility spillover effects, making it an attractive tool for multivariate volatility modeling. Despite limitations, such as noninvertibility and unclear asymptotic properties of the QML estimator, our Monte ...
Yongdeng Xu
wiley +1 more source
On the Terwilliger Algebra of the Group Association Scheme of the Symmetric Group Sym ( 7 )
Journal of Combinatorial Designs, Volume 33, Issue 7, Page 261-274, July 2025.ABSTRACT Terwilliger algebras are finite‐dimensional semisimple algebras that were first introduced by Paul Terwilliger in 1992 in studies of association schemes and distance‐regular graphs. The Terwilliger algebras of the conjugacy class association schemes of the symmetric groups Sym ( n ), for 3 ≤ n ≤ 6, have been studied and completely determined ...
Allen Herman +2 more
wiley +1 more source
Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons [PDF]
, 2011 Jingu Kim, Haesun Park
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Machine learning to detect schedules using spatiotemporal data of behavior: A proof of concept
Journal of the Experimental Analysis of Behavior, Volume 124, Issue 1, July 2025.Abstract Traditionally, the experimental analysis of behavior has relied on the single discrete response paradigm (e.g., key pecks, lever presses, screen clicks) to identify behavioral patterns. However, the development and availability of new technology allow researchers to move beyond this paradigm and use other features to detect schedules.
Marc J. Lanovaz +2 more
wiley +1 more source
Eigenvalue Approach to Dense Clusters in Hypergraphs
Journal of Graph Theory, Volume 109, Issue 3, Page 353-365, July 2025.ABSTRACT In this article, we investigate the problem of finding in a given weighted hypergraph a subhypergraph with the maximum possible density. Using the notion of a support matrix we prove that the density of an optimal subhypergraph is equal to ∥ A T A ∥ for an optimal support matrix A. Alternatively, the maximum density of a subhypergraph is equal
Yuly Billig
wiley +1 more source
Level characteristics corresponding to peripheral eigenvalues of a nonnegative matrix
, 2008 Judith J. McDonald, DeAnne M. Morris
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Two‐Stage Approach to Small‐Object Detection
Systems Engineering, Volume 28, Issue 4, Page 548-556, July 2025.ABSTRACT Unmanned aerial systems (UAS) are increasingly finding applications in civilian and commercial sectors. The utilization of machine learning techniques in UAS image analysis significantly advances target detection and tracking algorithms. In the field of systems engineering, the integration of advanced object detection techniques within UAS ...
Mingrui Yu, Henry Leung
wiley +1 more source
Nonnegative Matrix Factorization via Rank-One Downdate
, 2008 Michael Biggs +2 more
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