Zobrazeno 1 - 10
of 2 632
pro vyhledávání: '"P. Gellert"'
Autor:
R. P. Spang, K. Pieper, B. Oesterle, M. Brauer, C. Haeger, S. Mümken, P. Gellert, J.-N. Voigt-Antons
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W1-2022, Pp 435-441 (2022)
Mobility research is mainly concerned with understanding mobility on a higher level, including environmental factors, e.g., measuring the time out of home or tracking revisited places. This requires preprocessing the raw data obtained from GPS sensor
Externí odkaz:
https://doaj.org/article/29046cf360a4409296e0d7e8e14429d8
Autor:
R. P. Spang, K. Pieper, B. Oesterle, M. Brauer, C. Haeger, S. Mümken, P. Gellert, J.-N. Voigt-Antons
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W1-2022, Pp 443-448 (2022)
Identifying stops and trips from raw GPS traces is a fundamental preprocessing step for most mobility research applications. Thus, ensuring the excellent accuracy of such systems is of high interest to researchers designing such analysis pipelines. W
Externí odkaz:
https://doaj.org/article/33a1e78037924e6e951eb46fab6a7f22
Layered semiconductors have recently emerged as capable host materials for novel quantum applications ranging from phonics to sensing. Most studies have focused on artificial layered materials, such as hexagonal boron nitride and transitional dichalc
Externí odkaz:
http://arxiv.org/abs/2409.09132
Autor:
Perenyi, Gellert, Stensrud, Mats J.
Pathogens usually exist in heterogeneous variants, like subtypes and strains. Quantifying treatment effects on the different variants is important for guiding prevention policies and treatment development. Here we ground analyses of variant-specific
Externí odkaz:
http://arxiv.org/abs/2408.07560
We consider offline reinforcement learning (RL) in $H$-horizon Markov decision processes (MDPs) under the linear $q^\pi$-realizability assumption, where the action-value function of every policy is linear with respect to a given $d$-dimensional featu
Externí odkaz:
http://arxiv.org/abs/2405.16809
Autor:
Streeck, Robert, Gellert, Torsten, Schmitt, Andreas, Dipkaya, Asya, Fux, Vladimir, Januschowski, Tim, Berthold, Timo
In automated decision making processes in the online fashion industry, the 'predict-then-optimize' paradigm is frequently applied, particularly for markdown pricing strategies. This typically involves a mixed-integer optimization step, which is cruci
Externí odkaz:
http://arxiv.org/abs/2404.02996
We consider online reinforcement learning (RL) in episodic Markov decision processes (MDPs) under the linear $q^\pi$-realizability assumption, where it is assumed that the action-values of all policies can be expressed as linear functions of state-ac
Externí odkaz:
http://arxiv.org/abs/2310.07811
Subscribing to online services is typically a straightforward process, but cancelling them can be arduous and confusing -- causing many to resign and continue paying for services they no longer use. Making the cancellation intentionally difficult is
Externí odkaz:
http://arxiv.org/abs/2309.17145
Publikováno v:
ACS Omega, Vol 9, Iss 43, Pp 43986-43997 (2024)
Externí odkaz:
https://doaj.org/article/a4f81dab2a84426c86be064e432b707a
Publikováno v:
Lipids in Health and Disease, Vol 23, Iss 1, Pp 1-4 (2024)
Abstract Mendelian randomization (MR) is a powerful epidemiological method for causal inference. However, its recent surge in popularity has brought two concerning trends. First, the public availability of summary results from genome-wide association
Externí odkaz:
https://doaj.org/article/9cb1e380191845a392b58f0aeef4866a