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Applying oracles of on-demand accuracy in two-stage stochastic programming - A computational study.

, , , and . Eur. J. Oper. Res., 239 (2): 437-448 (2014)

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iWeaver: Towards 'Learning Style'-based e-Learning in Computer Science Education.. ACE, volume 20 of CRPIT, page 273-279. Australian Computer Society, (2003)Markov Random Fields for Improving 3D Mesh Analysis and Segmentation., and . 3DOR, page 25-32. Eurographics Association, (2008)Inference and parameter estimation on hierarchical belief networks for image segmentation., and . Neurocomputing, 73 (4-6): 563-569 (2010)Reconstructing Incomplete Signals Using Nonlinear Interpolation and Genetic Algorithms, , , , and . Late Breaking Papers at the 1997 Genetic Programming Conference, page 19--27. Stanford University, CA, USA, Stanford Bookstore, (13--16 July 1997)Reconstructing Incomplete Signals Using Nonlinear Interpolation and Genetic Algorithms, , , , and . Genetic Programming 1998: Proceedings of the Third Annual Conference, page 447--454. University of Wisconsin, Madison, Wisconsin, USA, Morgan Kaufmann, (22-25 July 1998)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.Deep Learning : kann man Sprache aus dem Gehirn »auslesen«?. (February 2019)Applying oracles of on-demand accuracy in two-stage stochastic programming - A computational study., , , and . Eur. J. Oper. Res., 239 (2): 437-448 (2014)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.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)