Zobrazeno 1 - 10 of 2 519 pro vyhledávání: '"Hoos, H.H."'
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Akademický článek
Increasing trust and fairness in machine learning applications within the mortgage industry
Autor: van Zetten, W., Ramackers, G.J., Hoos, H.H.
Publikováno v: In Machine Learning with Applications 15 December 2022 10
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2
Speeding up neural network robustness verification via algorithm configuration and an optimised mixed integer linear programming solver portfolio
Autor: König, H.M.T., Hoos, H.H., Rijn, J.N. van
Publikováno v: Machine Learning, 111, 4565-4584
Machine learning 111(12), 4565-4584 (2022). doi:10.1007/s10994-022-06212-w
Machine learning 111(12), 4565-4584 (2022). doi:10.1007/s10994-022-06212-w
Published by Springer Science + Business Media B.V, Dordrecht [u.a.]
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3393b15c9ca84040a19624fd42acceb0
http://hdl.handle.net/1887/3484755
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3
Automated configuration and usage of strategy portfolios for mixed-motive bargaining
Autor: Renting, B.M., Hoos, H.H., Jonker, C.M.
Publikováno v: AAMAS '22: Proceedings of the 21st international conference on autonomous agents and multiagent systems, 1101-1109. Richland, S.C.: International Foundation for Autonomous Agents and Multiagent Systems
STARTPAGE=1101;ENDPAGE=1109;TITLE=AAMAS '22: Proceedings of the 21st international conference on autonomous agents and multiagent systems
International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022
Bargaining can be used to resolve mixed-motive games in multiagent systems. Although there is an abundance of negotiation strategies implemented in automated negotiating agents, most agents are based on single fixed strategies, while it is acknowledg
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6c5c5a31e4fcac55427a855e10593766
https://www.ifaamas.org/Proceedings/aamas2022/forms/contents.htm
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4
Towards time-series feature engineering in automated machine learning for multi-step-ahead forecasting
Autor: Wang, C., Baratchi, M., Bäck, T.H.W., Hoos, H.H., Limmer, S., Olhofer, M., Rojas, I., Pomares, H., Valenzuela, O., Rojas, F., Herrera, L.J.
Publikováno v: Engineering Proceedings, 17. MDPI
ISSUE=1;STARTPAGE=17;TITLE=Engineering Proceedings
Engineering proceedings 18(1), 17 (2022). doi:10.3390/engproc2022018017 special issue: "The 8th International Conference on Time Series and Forecasting Gran Canaria, Spain : 27–30 June 2022 / Volume Editors: Ignacio Rojas, Hector Pomares, Olga Valenzuela, Fernando Rojas and Luis Javier Herrera"
8. International Conference on Time Series and Forecasting, ITISE 2022, Gran Canaria, Spain, 2022-06-27-2022-06-30
8. International Conference on Time Series and Forecasting, ITISE 2022, Gran Canaria, Spain, 27 Jun 2022 - 30 Jun 2022; Engineering proceedings 18(1), 17 (2022). doi:10.3390/engproc2022018017 special issue: "The 8th International Conference on Time S
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fa1d99894257af6fe69c83327f58c83
https://hdl.handle.net/1887/3563867
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7
Next big challenges in core AI technology
Autor: Dengel, A., Etzioni, O., DeCario, N., Hoos, H.H., Li, F.F., Tsujii, J., Traverso, P., Braunschweig, B., Ghallab, M.
Publikováno v: Lecture Notes in Computer Science, 90-115. Cham: Springer
STARTPAGE=90;ENDPAGE=115;TITLE=Lecture Notes in Computer Science
Reflections on Artificial Intelligence for Humanity ISBN: 9783030691271
Reflections on Artificial Intelligence for Humanity
The field of AI is rich in scientific and technical challenges. Progress needs to be made in machine learning paradigms to make them more efficient and less data intensive. Bridges between data-based and model-based AI are needed in order to benefit
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcefcb7b4727da87b2397f1096e5f5e3
https://hdl.handle.net/1887/3277262
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8
Statistical Comparison of Algorithm Performance Through Instance Selection
Autor: Matricon, T., Anastacio, M.I.A., Fijalkow, N., Simon, L., Hoos, H.H., Michel, L.D.
Publikováno v: 27th International conference on principles and practice of constraint programming (CP 2021), 43:1-43:21. Dagstuhl Publishing
STARTPAGE=43:1;ENDPAGE=43:21;TITLE=27th International conference on principles and practice of constraint programming (CP 2021)
Empirical performance evaluations, in competitions and scientific publications, play a major role in improving the state of the art in solving many automated reasoning problems, including SAT, CSP and Bayesian network structure learning (BNSL). To em
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d97d6e85fc1b64cd50f000d62091bc9d
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9
Automated configuration and selection of SAT solvers
Autor: Hoos, H.H., Hutter, F., Leyton-Brown, K., Biere, A., Heule, M., Maaren, H. van, Walsh, T.
Publikováno v: Frontiers in Artificial Intelligence and Applications, 481-507. IOS Press
STARTPAGE=481;ENDPAGE=507;TITLE=Frontiers in Artificial Intelligence and Applications
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1103790d6010d33f0dd28b017fe8834b
http://hdl.handle.net/1887/3277264
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