Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Philipp Batz"'
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Insect monitoring has gained global public attention in recent years in the context of insect decline and biodiversity loss. Monitoring methods that can collect samples over a long period of time and independently of human influences are of particula
Externí odkaz:
https://doaj.org/article/60d67f69e17f400a8b2192a2753ad782
Autor:
Philipp Batz, Andreas Ruttor, Sebastian Thiel, Jakob Wegener, Fred Zautke, Christoph Schwekendiek, Kaspar Bienefeld
Publikováno v:
Biology Methods and Protocols. 7
Machine-learning techniques are shifting the boundaries of feasibility in many fields of ethological research. Here, we describe an application of machine learning to the detection/measurement of hygienic behaviour, an important breeding trait in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c50d2d0447c76d5b6295145d31877c24
https://doi.org/10.1093/biomethods/bpac005
https://doi.org/10.1093/biomethods/bpac005
We introduce a nonparametric approach for estimating drift and diffusion functions in systems of stochastic differential equations from observations of the state vector. Gaussian processes are used as flexible models for these functions and estimates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5eadb4091aba76da9e230b5f827c8548
http://arxiv.org/abs/1702.05390
http://arxiv.org/abs/1702.05390
Autor:
Daniel Werner, Désirée Badea, Jasmin Schönzart, Sophia Eimermacher, Philipp Bätz, Mathias S. Wickleder, Markus Zegke
Publikováno v:
Chemistry, Vol 4, Iss 4, Pp 1672-1678 (2022)
Lewis base-free lanthanoid (Ln) and actinoid (An) iodides are difficult to obtain, as standard protocols describe syntheses in solutions of donor solvents which are ultimately hard to remove. We have now established a mechanochemical approach towards
Externí odkaz:
https://doaj.org/article/6b2ab8af208b4472af5091fa579580dd
Variational estimation of the drift for stochastic differential equations from the empirical density
We present a method for the nonparametric estimation of the drift function of certain types of stochastic differential equations from the empirical density. It is based on a variational formulation of the Fokker-Planck equation. The minimization of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7049cf0fbe1eaf2382309d8cbe41c03
http://arxiv.org/abs/1603.01159
http://arxiv.org/abs/1603.01159
Publikováno v:
Journal of Statistical Mechanics: Theory & Experiment; Aug2016, Vol. 2016 Issue 8, p1-1, 1p