Zobrazeno 1 - 10
of 274
pro vyhledávání: '"Moritz Meister"'
Autor:
Rusteberg, Benjamin
Publikováno v:
Der Staat, 2013 Jan 01. 52(3), 482-488.
Externí odkaz:
https://www.jstor.org/stable/43747986
Autor:
Desta Haileselassie Hagos, Theofilos Kakantousis, Sina Sheikholeslami, Tianze Wang, Vladimir Vlassov, Amir Hossein Payberah, Moritz Meister, Robin Andersson, Jim Dowling
Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1889 (2022)
This paper introduces the Hopsworks platform to the entire Earth Observation (EO) data community and the Copernicus programme. Hopsworks is a scalable data-intensive open-source Artificial Intelligence (AI) platform that was jointly developed by Logi
Externí odkaz:
https://doaj.org/article/0da81410ad064ed29475012bfab4905f
Publikováno v:
Regional Science Policy & Practice. 15:794-825
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce6a2d87bed22c89403d5c7c2b829cd8
https://doi.org/10.1111/rsp3.12652
https://doi.org/10.1111/rsp3.12652
Autor:
Moritz Meister, Thomas Slunecko
Publikováno v:
Zeitschrift für Qualitative Forschung
Qualitative Zugänge zu digitalisierten Körper-und Gesundheitspraxen
Qualitative Zugänge zu digitalisierten Körper-und Gesundheitspraxen
Der Artikel fragt nach einer gegenstandsadäquaten Methode der qualitativen Untersuchung von Apps und stellt dazu eine für die Analyse von Subjektivierung sensibilisierte Variante der Walkthrough-Methode vor. Apps werden dabei als multimediale Mikro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d42fcaca1693b4657f1333f29ae65e7
https://doi.org/10.3224/zqf.v22i2.05
https://doi.org/10.3224/zqf.v22i2.05
Autor:
Annekatrin Niebuhr, Moritz Meister
Publikováno v:
Review of Regional Research. 41:33-54
This paper investigates how important measurement issues such as the modifiable areal unit problem (MAUP), random unevenness and spatial autocorrelation affect cross-sectional studies of ethnic segregation. We use geocoded data for German cities to i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83db9b208244755e647e799e34c8d85b
https://doi.org/10.1007/s10037-020-00145-4
https://doi.org/10.1007/s10037-020-00145-4
Autor:
Moritz Meister
Publikováno v:
Automatisierte Zuwendung ISBN: 9783741001802
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4341237f9357a916358a850d129f927e
https://doi.org/10.5771/9783741001802-55
https://doi.org/10.5771/9783741001802-55
Autor:
Matthias Klatt, Moritz Meister
A presente obra é um contributo para uma analítica sobre o exercício da jurisdição constitucional, e o seu título'A estrutura constitucional da proporcionalidade'representa a noção empregada de ser a proporcionalidade uma estrutura formal dec
Autor:
Jim Dowling, Vladimir Vlassov, Sina Sheikholeslami, Amir H. Payberah, Moritz Meister, Tianze Wang
Publikováno v:
EuroMLSys@EuroSys
Ablation studies provide insights into the relative contribution of different architectural and regularization components to machine learning models' performance. In this paper, we introduce AutoAblation, a new framework for the design and parallel e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0f78e3a04d0c58e6dfebfae0c41815b
Publikováno v:
DistributedML@CoNEXT
Running extensive experiments is essential for building Machine Learning (ML) models. Such experiments usually require iterative execution of many trials with varying run times. In recent years, Apache Spark has become the de-facto standard for paral
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c32bd19517019f43ac619d841b520510
https://doi.org/10.1145/3426745.3431338
https://doi.org/10.1145/3426745.3431338
Building and productionizing Machine Learning (ML) models is a process of interdependent steps of iterative code updates, including exploratory model design, hyperparameter tuning, ablation experiments, and model training. Industrial-strength ML invo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea5c8dc7553e05b5bb414b281adc5a66