Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Esders, Malte"'
Publikováno v:
Computers & Chemical Engineering Volume 182, March 2024, 108574
Idealized first-principles models of chemical plants can be inaccurate. An alternative is to fit a Machine Learning (ML) model directly to plant sensor data. We use a structured approach: Each unit within the plant gets represented by one ML model. A
Externí odkaz:
http://arxiv.org/abs/2307.13621
Publikováno v:
In Computers and Chemical Engineering March 2024 182
Autor:
Leinen, Philipp, Esders, Malte, Schütt, Kristof T., Wagner, Christian, Müller, Klaus-Robert, Tautz, F. Stefan
Publikováno v:
Sci. Adv. 6, eabb6987 (2020)
The ability to handle single molecules as effectively as macroscopic building-blocks would enable the construction of complex supramolecular structures inaccessible to self-assembly. The fundamental challenges obstructing this goal are the uncontroll
Externí odkaz:
http://arxiv.org/abs/2002.11952
Autor:
Kauffmann, Jacob, Esders, Malte, Ruff, Lukas, Montavon, Grégoire, Samek, Wojciech, Müller, Klaus-Robert
A recent trend in machine learning has been to enrich learned models with the ability to explain their own predictions. The emerging field of Explainable AI (XAI) has so far mainly focused on supervised learning, in particular, deep neural network cl
Externí odkaz:
http://arxiv.org/abs/1906.07633
Autor:
van de Geer, Ruben, Boer, Arnoud V. den, Bayliss, Christopher, Currie, Christine, Ellina, Andria, Esders, Malte, Haensel, Alwin, Lei, Xiao, Maclean, Kyle D. S., Martinez-Sykora, Antonio, Riseth, Asbjørn Nilsen, Ødegaard, Fredrik, Zachariades, Simos
This paper presents the results of the Dynamic Pricing Challenge, held on the occasion of the 17th INFORMS Revenue Management and Pricing Section Conference on June 29-30, 2017 in Amsterdam, The Netherlands. For this challenge, participants submitted
Externí odkaz:
http://arxiv.org/abs/1804.03219
Autor:
Kauffmann, Jacob, Esders, Malte, Ruff, Lukas, Montavon, Gregoire, Samek, Wojciech, Muller, Klaus-Robert
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems; February 2024, Vol. 35 Issue: 2 p1926-1940, 15p
Akademický článek
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Autor:
van de Geer, Ruben, den Boer, Arnoud V., Bayliss, Christopher, Currie, Christine S. M., Ellina, Andria, Esders, Malte, Haensel, Alwin, Lei, Xiao, Maclean, Kyle D. S., Martinez-Sykora, Antonio, Riseth, Asbjørn Nilsen, Ødegaard, Fredrik, Zachariades, Simos
Publikováno v:
Journal of Revenue & Pricing Management; Jun2019, Vol. 18 Issue 3, p185-203, 19p
Akademický článek
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Autor:
Leinen, Philipp, Esders, Malte, Schütt, Kristof T., Wagner, Christian, Müller, Klaus-Robert, Tautz, F. Stefan
Publikováno v:
Science advances 6(36), eabb6987 (2020). doi:10.1126/sciadv.abb6987
Science Advances
Science advances 6(36), eabb6987-(2020). doi:10.1126/sciadv.abb6987
Science Advances
Science advances 6(36), eabb6987-(2020). doi:10.1126/sciadv.abb6987
The ability to handle single molecules as effectively as macroscopic building-blocks would enable the construction of complex supramolecular structures inaccessible to self-assembly. The fundamental challenges obstructing this goal are the uncontroll