Results 51 to 60 of about 1,230 (193)
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Asian Journal of Control, EarlyView.Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
On contact loci of hyperplane arrangements
Advances in Applied Mathematics, 2022 We give an explicit expression for the contact loci of hyperplane arrangements and show that their cohomology rings are combinatorial invariants. We also give an expression for the restricted contact loci in terms of Milnor fibers of associated hyperplane arrangements.
Budur, Nero, Tran, Quang Tue
openaire +3 more sources
Morphisms and Order Ideals of Toric Posets
Mathematics, 2016 Toric posets are in some sense a natural “cyclic” version of finite posets in that they capture the fundamental features of a partial order but without the notion of minimal or maximal elements.
Matthew Macauley
doaj +1 more source
Wildlife Biology, EarlyView.Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge +4 more
wiley +1 more source
Probing the arrangement of hyperplanes
Discrete Applied Mathematics, 1995 The paper contains results about the combinatorial complexity of the geometry and topology related to an arrangement \(H\) of hyperplanes, obtained by the operation of ``probing'' by a flat \(F\) (using the respective intersection of \(H\) and \(F)\).
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Ecology and Evolution, Volume 16, Issue 6, June 2026.The current study used machine learning and geospatial analysis to predict how climate change will loosen and fragment suitable habitats for Ethiopian honeybees. Main factors like agro‐ecological zones and dry‐season precipitation were found to be critical for bee survival.
Diriba Tulu +4 more
wiley +1 more source
Psychopathy traits and their link to emotion recognition impairments in conduct disorder
JCPP Advances, Volume 6, Issue 2, June 2026.Abstract Background Neurocognitive models suggest that callous‐unemotional (CU) traits in youths with conduct disorder (CD) are linked to emotion recognition impairments, particularly in identifying distress emotions like fear and sadness. However, CD may be accompanied by grandiose‐manipulative (GM) and/or impulsive‐irresponsible (II) traits in ...
Gregor Kohls +9 more
wiley +1 more source
Forum of Mathematics, PiFor a reduced hyperplane arrangement, we prove the analytic Twisted Logarithmic Comparison Theorem, subject to mild combinatorial arithmetic conditions on the weights defining the twist.
Daniel Bath
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Discovering biclusters in gene expression data based on high-dimensional linear geometries
BMC Bioinformatics, 2008 Background In DNA microarray experiments, discovering groups of genes that share similar transcriptional characteristics is instrumental in functional annotation, tissue classification and motif identification.
Liew Alan, Gan Xiangchao, Yan Hong
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Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.ABSTRACT Understanding the microscopic relaxation mechanisms in amorphous solids remains a fundamental challenge. A theoretical framework posits that dynamics are mediated by quasivoids: transient, localized quasi‐particles that are the amorphous analogue of crystalline vacancies.
Guan‐Qiang Liu +6 more
wiley +1 more source