Zobrazeno 1 - 10
of 48 563
pro vyhledávání: '"A. Helle"'
Autor:
Ersalman, Murat, Kunnasranta, Mervi, Ahola, Markus, Carlsson, Anja M., Persson, Sara, Bäcklin, Britt-Marie, Helle, Inari, Cervin, Linnea, Vanhatalo, Jarno
Integrated population models (IPMs) are a promising approach to test ecological theories and assess wildlife populations in dynamic and uncertain conditions. By combining multiple data sources into a single, unified model, they enable the parametriza
Externí odkaz:
http://arxiv.org/abs/2408.08069
$\Omega$-automata and Wilke algebras are formalisms for characterising $\omega$-regular languages via their ultimately periodic words. $\Omega$-automata read finite representations of ultimately periodic words, called lassos, and they are a subclass
Externí odkaz:
http://arxiv.org/abs/2407.14115
Simplicial sets generalize many categories of graphs. In this paper, we give a complete characterization of the Lawvere-Tierney topologies on (semi-)simplicial sets, on bicolored graphs, and on fuzzy sets. We apply our results to establish that 'part
Externí odkaz:
http://arxiv.org/abs/2407.04535
Autor:
Bulté, Matthieu, Sørensen, Helle
Random variables in metric spaces indexed by time and observed at equally spaced time points are receiving increased attention due to their broad applicability. The absence of inherent structure in metric spaces has resulted in a literature that is p
Externí odkaz:
http://arxiv.org/abs/2405.03778
Composite theories are the algebraic equivalent of distributive laws. In this paper, we delve into the details of this correspondence and concretely show how to construct a composite theory from a distributive law and vice versa. Using term rewriting
Externí odkaz:
http://arxiv.org/abs/2404.00581
High resolution spectral observations of the lower solar atmosphere (chromosphere and transition region) during coronal heating events, in combination with predictions from models of impulsively heated loops, provide powerful diagnostics of the prope
Externí odkaz:
http://arxiv.org/abs/2308.15417
Autor:
Bulté, Matthieu, Sørensen, Helle
This paper revisits an adaptation of the random forest algorithm for Fr\'echet regression, addressing the challenge of regression in the context of random objects in metric spaces. Recognizing the limitations of previous approaches, we introduce a ne
Externí odkaz:
http://arxiv.org/abs/2306.17031
Publikováno v:
International Journal of Entrepreneurial Behavior & Research, 2024, Vol. 30, Issue 7, pp. 1601-1613.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJEBR-08-2024-078
Publikováno v:
Journal of Organizational Ethnography, 2024, Vol. 13, Issue 2, pp. 274-289.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JOE-06-2023-0032
Publikováno v:
Journal of Health Organization and Management, 2024, Vol. 38, Issue 3, pp. 414-429.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JHOM-03-2023-0063