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Dokumententyp
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Anzahl der Publikationen: 6
Zeitschriftenartikel
Dellnitz, Michael; Hüllermeier, Eyke 
ORCID: https://orcid.org/0000-0002-9944-4108; Lücke, Marvin ORCID: https://orcid.org/0000-0001-8415-0038; Ober-Blöbaum, Sina; Offen, Christian ORCID: https://orcid.org/0000-0002-5940-8057; Peitz, Sebastian ORCID: https://orcid.org/0000-0002-3389-793X und Pfannschmidt, Karlson ORCID: https://orcid.org/0000-0001-9407-7903
(2023):
Efficient Time-Stepping for Numerical Integration Using Reinforcement Learning.
In: SIAM Journal on Scientific Computing, Bd. 45, Nr. 2:
A579-A595
[PDF, 671kB]
ORCID: https://orcid.org/0000-0002-9944-4108; Lücke, Marvin ORCID: https://orcid.org/0000-0001-8415-0038; Ober-Blöbaum, Sina; Offen, Christian ORCID: https://orcid.org/0000-0002-5940-8057; Peitz, Sebastian ORCID: https://orcid.org/0000-0002-3389-793X und Pfannschmidt, Karlson ORCID: https://orcid.org/0000-0001-9407-7903
(2023):
Efficient Time-Stepping for Numerical Integration Using Reinforcement Learning.
In: SIAM Journal on Scientific Computing, Bd. 45, Nr. 2:
A579-A595
[PDF, 671kB]
Pfannschmidt, Karlson ORCID: https://orcid.org/0000-0001-9407-7903; Gupta, Pritha ORCID: https://orcid.org/0000-0002-7277-4633; Haddenhorst, Björn und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Januar 2022):
Learning context-dependent choice functions.
In: International Journal of Approximate Reasoning, Bd. 140: S. 116-155
[PDF, 4MB]
ORCID: https://orcid.org/0000-0001-9407-7903; Gupta, Pritha ORCID: https://orcid.org/0000-0002-7277-4633; Haddenhorst, Björn und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Januar 2022):
Learning context-dependent choice functions.
In: International Journal of Approximate Reasoning, Bd. 140: S. 116-155
[PDF, 4MB]
Pfannschmidt, Karlson; Gupta, Pritha; Haddenhorst, Björn und Hüllermeier, Eyke
(2021):
Learning context-dependent choice functions.
In: International Journal of Approximate Reasoning, Bd. 140: S. 116-155
Buchbeitrag
Pfannschmidt, Karlson; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Held, Susanne und Neiger, Reto
(2016):
Evaluating Tests in Medical Diagnosis: Combining Machine Learning with Game-Theoretical Concepts.
In: Carvalho, Joao Paulo; Lesot, Marie-Jeanne; Kaymak, Uzay; Vieira, Susana; Bouchon-Meunier, Bernadette und Yager, Ronald R. (Hrsg.):
Information Processing and Management of Uncertainty in Knowledge-Based Systems. 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20-24, 2016, Proceedings, Part I. Communications in Computer and Information Science, Bd. 610. Cham: Springer. S. 450-461
[PDF, 519kB]
ORCID: https://orcid.org/0000-0002-9944-4108; Held, Susanne und Neiger, Reto
(2016):
Evaluating Tests in Medical Diagnosis: Combining Machine Learning with Game-Theoretical Concepts.
In: Carvalho, Joao Paulo; Lesot, Marie-Jeanne; Kaymak, Uzay; Vieira, Susana; Bouchon-Meunier, Bernadette und Yager, Ronald R. (Hrsg.):
Information Processing and Management of Uncertainty in Knowledge-Based Systems. 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20-24, 2016, Proceedings, Part I. Communications in Computer and Information Science, Bd. 610. Cham: Springer. S. 450-461
[PDF, 519kB]
Konferenzbeitrag
Pfannschmidt, Karlson ORCID: https://orcid.org/0000-0001-9407-7903 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2020):
Learning Choice Functions via Pareto-Embeddings.
43rd German Conference on AI, Bamberg, Germany, 21-25 September, 2020.
In: KI 2020: Advances in Artificial Intelligence,
Bd. 12325
Cham: Springer. S. 327-333
[PDF, 494kB]
ORCID: https://orcid.org/0000-0001-9407-7903 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2020):
Learning Choice Functions via Pareto-Embeddings.
43rd German Conference on AI, Bamberg, Germany, 21-25 September, 2020.
In: KI 2020: Advances in Artificial Intelligence,
Bd. 12325
Cham: Springer. S. 327-333
[PDF, 494kB]
Jasinska, Kalina; Dembczynski, Krzysztof; Busa-Fekete, Róbert; Pfannschmidt, Karlson; Klerx, Timo und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2016):
Extreme F-measure maximization using sparse probability estimates.
ICML'16: 33rd International Conference on International Conference on Machine Learning, New York, NY USA, June 19 - 24, 2016.
Balcan, Maria Florina und Weinberger, Kilian Q. (Hrsg.):
In: Proceedings of the 33rd International Conference on International Conference on Machine Learning,
Bd. 22
New York: Association for Computing Machinery. S. 1435-1444
[PDF, 719kB]
ORCID: https://orcid.org/0000-0002-9944-4108
(2016):
Extreme F-measure maximization using sparse probability estimates.
ICML'16: 33rd International Conference on International Conference on Machine Learning, New York, NY USA, June 19 - 24, 2016.
Balcan, Maria Florina und Weinberger, Kilian Q. (Hrsg.):
In: Proceedings of the 33rd International Conference on International Conference on Machine Learning,
Bd. 22
New York: Association for Computing Machinery. S. 1435-1444
[PDF, 719kB]