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Ein unsinniger Streit : Anlage-Umwelt-Debatte

. Gehirn und Geist,   (4): 32-40 (2013)+ Interview mit Frank M. Spinath, „Unsere Gene suchen sich die Umwelt, die zu ihnen passt“ (S. 42-45).

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Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer., , , and . ICPR, page 158-165. IEEE, (2020)Classification of Images Based on Hidden Markov Models., , and . CBMI, page 169-174. IEEE Computer Society, (2009)Learning Text-Line Localization with Shared and Local Regression Neural Networks., , , and . ICFHR, page 1-6. IEEE Computer Society, (2016)Deep Learning : kann man Sprache aus dem Gehirn »auslesen«?. (February 2019)Multi-Object Navigation with dynamically learned neural implicit representations., , , and . ICCV, page 10970-10981. IEEE, (2023)Inference and parameter estimation on hierarchical belief networks for image segmentation., and . Neurocomputing, 73 (4-6): 563-569 (2010)Red-Sequence Galaxies at High Redshift by the COMBO-17+4 Survey, , , and . (2010)cite arxiv:1011.4067 Comment: 18 pages, 11 figures, accepted for publication in ApJ.Applying oracles of on-demand accuracy in two-stage stochastic programming - A computational study., , , and . Eur. J. Oper. Res., 239 (2): 437-448 (2014)Learning to detect, localize and recognize many text objects in document images from few examples., , and . Int. J. Document Anal. Recognit., 21 (3): 161-175 (2018)KiDS-1000 Cosmology: Multi-probe weak gravitational lensing and spectroscopic galaxy clustering constraints, , , , , , , , , and 21 other author(s). (2020)cite arxiv:2007.15632Comment: 24 pages, 11 figures, 5 tables, submitted to A&A. This paper is part of the KiDS-1000 series of papers, accompanying Asgari et al. and Hildebrandt et al. appearing on the arXiv today, joining Joachimi et al. (arXiv:2007.01844) and Giblin et al. (arXiv:2007.01845). Online KiDS-1000 talks and seminars can be viewed at http://kids.strw.leidenuniv.nl/KiDS-1000.php.