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In order to optimally satisfy service requesters and service providers, adequate techniques for automatic service matching are needed. However, a requester’s requirements may be vague and the information available about a provided service may be incomplete. As a consequence, fuzziness is induced into the matching procedure. The contribution of this paper is the development of a systematic matching procedure that leverages concepts and techniques from fuzzy logic and possibility theory based on our formal distinction between different sources and types of fuzziness in the context of service matching. In contrast to existing methods, our approach is able to deal with imprecision and incompleteness in service specifications and to inform users about the extent of induced fuzziness in order to improve the user’s decision-making. We demonstrate our approach on the example of specifications for service reputation based on ratings given by previous users. Our evaluation based on real service ratings shows the utility and applicability of our approach.","lang":"eng"}],"type":"journal_article","publication":"IEEE Transactions on Software Engineering (TSE), presented at ICSE 2017","file_date_updated":"2018-03-21T12:30:31Z","language":[{"iso":"eng"}],"ddc":["040"],"user_id":"15504","department":[{"_id":"355"}],"project":[{"_id":"1","name":"SFB 901"},{"_id":"9","name":"SFB 901 - Subprojekt B1"},{"_id":"10","name":"SFB 901 - Subprojekt B2"},{"name":"SFB 901 - Subprojekt B3","_id":"11"},{"_id":"3","name":"SFB 901 - Project Area B"}],"_id":"190","citation":{"apa":"Platenius, M. C., Shaker, A., Becker, M., Hüllermeier, E., &#38; Schäfer, W. (2016). Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic. <i>IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017</i>, (8), 739–759. <a href=\"https://doi.org/10.1109/TSE.2016.2632115\">https://doi.org/10.1109/TSE.2016.2632115</a>","short":"M.C. 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In <i>Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016)</i> (pp. 756–771). <a href=\"https://doi.org/10.1007/978-3-319-46227-1_47\">https://doi.org/10.1007/978-3-319-46227-1_47</a>","mla":"Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms.” <i>Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016)</i>, 2016, pp. 756–71, doi:<a href=\"https://doi.org/10.1007/978-3-319-46227-1_47\">10.1007/978-3-319-46227-1_47</a>.","bibtex":"@inproceedings{Melnikov_Hüllermeier_2016, series={LNCS}, title={Learning to Aggregate Using Uninorms}, DOI={<a href=\"https://doi.org/10.1007/978-3-319-46227-1_47\">10.1007/978-3-319-46227-1_47</a>}, booktitle={Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016)}, author={Melnikov, Vitaly and Hüllermeier, Eyke}, year={2016}, pages={756–771}, collection={LNCS} }","short":"V. Melnikov, E. Hüllermeier, in: Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016), 2016, pp. 756–771.","ieee":"V. Melnikov and E. Hüllermeier, “Learning to Aggregate Using Uninorms,” in <i>Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016)</i>, 2016, pp. 756–771.","chicago":"Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms.” In <i>Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016)</i>, 756–71. LNCS, 2016. <a href=\"https://doi.org/10.1007/978-3-319-46227-1_47\">https://doi.org/10.1007/978-3-319-46227-1_47</a>.","ama":"Melnikov V, Hüllermeier E. Learning to Aggregate Using Uninorms. In: <i>Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016)</i>. LNCS. ; 2016:756-771. doi:<a href=\"https://doi.org/10.1007/978-3-319-46227-1_47\">10.1007/978-3-319-46227-1_47</a>"},"page":"756-771","has_accepted_license":"1","language":[{"iso":"eng"}],"ddc":["040"],"file":[{"date_updated":"2018-03-21T12:32:44Z","creator":"florida","date_created":"2018-03-21T12:32:44Z","file_size":472159,"file_id":"1533","access_level":"closed","file_name":"184-chp_3A10.1007_2F978-3-319-46227-1_47.pdf","content_type":"application/pdf","success":1,"relation":"main_file"}],"abstract":[{"text":"In this paper, we propose a framework for a class of learning problems that we refer to as “learning to aggregate”. Roughly, learning-to-aggregate problems are supervised machine learning problems, in which instances are represented in the form of a composition of a (variable) number on constituents; such compositions are associated with an evaluation, score, or label, which is the target of the prediction task, and which can presumably be modeled in the form of a suitable aggregation of the properties of its constituents. Our learning-to-aggregate framework establishes a close connection between machine learning and a branch of mathematics devoted to the systematic study of aggregation functions. We specifically focus on a class of functions called uninorms, which combine conjunctive and disjunctive modes of aggregation. Experimental results for a corresponding model are presented for a review data set, for which the aggregation problem consists of combining different reviewer opinions about a paper into an overall decision of acceptance or rejection.","lang":"eng"}],"publication":"Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016)","title":"Learning to Aggregate Using Uninorms","date_created":"2017-10-17T12:41:27Z","year":"2016"},{"_id":"10785","user_id":"49109","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"language":[{"iso":"eng"}],"type":"encyclopedia_article","publication":"Encyclopedia of Machine Learning and Data Mining","editor":[{"first_name":"C.","last_name":"Sammut","full_name":"Sammut, C."},{"last_name":"Webb","full_name":"Webb, G.I.","first_name":"G.I."}],"status":"public","date_updated":"2022-01-06T06:50:50Z","publisher":"Springer","author":[{"first_name":"J.","full_name":"Fürnkranz, J.","last_name":"Fürnkranz"},{"first_name":"Eyke","last_name":"Hüllermeier","id":"48129","full_name":"Hüllermeier, Eyke"}],"date_created":"2019-07-10T16:00:23Z","title":"Preference Learning","year":"2016","citation":{"ieee":"J. Fürnkranz and E. Hüllermeier, “Preference Learning,” in <i>Encyclopedia of Machine Learning and Data Mining</i>, C. Sammut and G. I. Webb, Eds. Springer, 2016.","chicago":"Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In <i>Encyclopedia of Machine Learning and Data Mining</i>, edited by C. Sammut and G.I. Webb. Springer, 2016.","ama":"Fürnkranz J, Hüllermeier E. Preference Learning. In: Sammut C, Webb GI, eds. <i>Encyclopedia of Machine Learning and Data Mining</i>. Springer; 2016.","apa":"Fürnkranz, J., &#38; Hüllermeier, E. (2016). Preference Learning. In C. Sammut &#38; G. I. Webb (Eds.), <i>Encyclopedia of Machine Learning and Data Mining</i>. Springer.","short":"J. Fürnkranz, E. Hüllermeier, in: C. Sammut, G.I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining, Springer, 2016.","mla":"Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” <i>Encyclopedia of Machine Learning and Data Mining</i>, edited by C. Sammut and G.I. Webb, Springer, 2016.","bibtex":"@inbook{Fürnkranz_Hüllermeier_2016, title={Preference Learning}, booktitle={Encyclopedia of Machine Learning and Data Mining}, publisher={Springer}, author={Fürnkranz, J. and Hüllermeier, Eyke}, editor={Sammut, C. and Webb, G.I.Editors}, year={2016} }"}},{"title":"On the identifiability of models  in multi-criteria preference learning","date_updated":"2022-01-06T06:52:23Z","date_created":"2019-12-19T16:02:19Z","author":[{"full_name":"Labreuche, C.","last_name":"Labreuche","first_name":"C."},{"last_name":"Hüllermeier","id":"48129","full_name":"Hüllermeier, Eyke","first_name":"Eyke"},{"last_name":"Vojtas","full_name":"Vojtas, P.","first_name":"P."},{"first_name":"A.","last_name":"Fallah Tehrani","full_name":"Fallah Tehrani, A."}],"year":"2016","citation":{"ieee":"C. Labreuche, E. Hüllermeier, P. Vojtas, and A. Fallah Tehrani, “On the identifiability of models  in multi-criteria preference learning,” in <i>in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany</i>, 2016.","chicago":"Labreuche, C., Eyke Hüllermeier, P. Vojtas, and A. Fallah Tehrani. “On the Identifiability of Models  in Multi-Criteria Preference Learning.” In <i>In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany</i>, edited by R. Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.","ama":"Labreuche C, Hüllermeier E, Vojtas P, Fallah Tehrani A. On the identifiability of models  in multi-criteria preference learning. In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. <i>In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany</i>. ; 2016.","mla":"Labreuche, C., et al. “On the Identifiability of Models  in Multi-Criteria Preference Learning.” <i>In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany</i>, edited by R. Busa-Fekete et al., 2016.","short":"C. Labreuche, E. Hüllermeier, P. Vojtas, A. Fallah Tehrani, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.","bibtex":"@inproceedings{Labreuche_Hüllermeier_Vojtas_Fallah Tehrani_2016, title={On the identifiability of models  in multi-criteria preference learning}, booktitle={in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany}, author={Labreuche, C. and Hüllermeier, Eyke and Vojtas, P. and Fallah Tehrani, A.}, editor={Busa-Fekete, R. and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, KarlsonEditors}, year={2016} }","apa":"Labreuche, C., Hüllermeier, E., Vojtas, P., &#38; Fallah Tehrani, A. (2016). On the identifiability of models  in multi-criteria preference learning. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, &#38; K. Pfannschmidt (Eds.), <i>in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany</i>."},"language":[{"iso":"eng"}],"_id":"15400","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"user_id":"49109","editor":[{"last_name":"Busa-Fekete","full_name":"Busa-Fekete, R.","first_name":"R."},{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke"},{"last_name":"Mousseau","full_name":"Mousseau, V.","first_name":"V."},{"first_name":"Karlson","last_name":"Pfannschmidt","full_name":"Pfannschmidt, Karlson"}],"status":"public","publication":"in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany","type":"conference"},{"user_id":"49109","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"_id":"15401","language":[{"iso":"eng"}],"type":"conference","publication":"in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany","status":"public","editor":[{"last_name":"Busa-Fekete","full_name":"Busa-Fekete, R.","first_name":"R."},{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke"},{"last_name":"Mousseau","full_name":"Mousseau, V.","first_name":"V."},{"first_name":"Karlson","last_name":"Pfannschmidt","full_name":"Pfannschmidt, Karlson"}],"date_created":"2019-12-19T16:33:45Z","author":[{"first_name":"D.","last_name":"Schäfer","full_name":"Schäfer, D."},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier"}],"date_updated":"2022-01-06T06:52:23Z","title":"Preference -based reinforcement learning using dyad ranking","citation":{"chicago":"Schäfer, D., and Eyke Hüllermeier. “Preference -Based Reinforcement Learning Using Dyad Ranking.” In <i>In Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany</i>, edited by R. Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.","ieee":"D. Schäfer and E. Hüllermeier, “Preference -based reinforcement learning using dyad ranking,” in <i>in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany</i>, 2016.","ama":"Schäfer D, Hüllermeier E. Preference -based reinforcement learning using dyad ranking. In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. <i>In Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany</i>. ; 2016.","apa":"Schäfer, D., &#38; Hüllermeier, E. (2016). Preference -based reinforcement learning using dyad ranking. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, &#38; K. Pfannschmidt (Eds.), <i>in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany</i>.","mla":"Schäfer, D., and Eyke Hüllermeier. “Preference -Based Reinforcement Learning Using Dyad Ranking.” <i>In Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany</i>, edited by R. Busa-Fekete et al., 2016.","short":"D. Schäfer, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), In Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, 2016.","bibtex":"@inproceedings{Schäfer_Hüllermeier_2016, title={Preference -based reinforcement learning using dyad ranking}, booktitle={in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany}, author={Schäfer, D. and Hüllermeier, Eyke}, editor={Busa-Fekete, R. and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, KarlsonEditors}, year={2016} }"},"year":"2016"},{"citation":{"chicago":"Couso, Ines, Mohsen Ahmadi Fahandar, and Eyke Hüllermeier. “Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.” In <i>In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany</i>, edited by R. Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.","ieee":"I. Couso, M. Ahmadi Fahandar, and E. Hüllermeier, “Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators,” in <i>in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany</i>, 2016.","ama":"Couso I, Ahmadi Fahandar M, Hüllermeier E. Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators. In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. <i>In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany</i>. ; 2016.","apa":"Couso, I., Ahmadi Fahandar, M., &#38; Hüllermeier, E. (2016). Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, &#38; K. Pfannschmidt (Eds.), <i>in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany</i>.","mla":"Couso, Ines, et al. “Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.” <i>In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany</i>, edited by R. Busa-Fekete et al., 2016.","bibtex":"@inproceedings{Couso_Ahmadi Fahandar_Hüllermeier_2016, title={Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators}, booktitle={in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany}, author={Couso, Ines and Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke}, editor={Busa-Fekete, R. and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, KarlsonEditors}, year={2016} }","short":"I. Couso, M. Ahmadi Fahandar, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016."},"year":"2016","title":"Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators","author":[{"first_name":"Ines","last_name":"Couso","full_name":"Couso, Ines"},{"first_name":"Mohsen","last_name":"Ahmadi Fahandar","full_name":"Ahmadi Fahandar, Mohsen"},{"first_name":"Eyke","id":"48129","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier"}],"date_created":"2019-12-19T16:37:06Z","date_updated":"2022-01-06T06:52:23Z","status":"public","editor":[{"full_name":"Busa-Fekete, R.","last_name":"Busa-Fekete","first_name":"R."},{"full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","first_name":"Eyke"},{"first_name":"V.","last_name":"Mousseau","full_name":"Mousseau, V."},{"first_name":"Karlson","last_name":"Pfannschmidt","full_name":"Pfannschmidt, Karlson"}],"type":"conference","publication":"in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany","language":[{"iso":"eng"}],"user_id":"49109","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"_id":"15402"},{"year":"2016","citation":{"bibtex":"@inproceedings{Lu_Hüllermeier_2016, title={Support vector classification on noisy data using fuzzy superset losses}, booktitle={in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany}, publisher={KIT Scientific Publishing}, author={Lu, S. and Hüllermeier, Eyke}, editor={Hüllermeier, Eyke and Hoffmann, F. and Mikut, R.Editors}, year={2016}, pages={1–8} }","short":"S. Lu, E. Hüllermeier, in: E. Hüllermeier, F. Hoffmann, R. Mikut (Eds.), In Proceedings 26th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2016, pp. 1–8.","mla":"Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data Using Fuzzy Superset Losses.” <i>In Proceedings 26th Workshop Computational Intelligence, Dortmund Germany</i>, edited by Eyke Hüllermeier et al., KIT Scientific Publishing, 2016, pp. 1–8.","apa":"Lu, S., &#38; Hüllermeier, E. (2016). Support vector classification on noisy data using fuzzy superset losses. In E. Hüllermeier, F. Hoffmann, &#38; R. Mikut (Eds.), <i>in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany</i> (pp. 1–8). KIT Scientific Publishing.","chicago":"Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data Using Fuzzy Superset Losses.” In <i>In Proceedings 26th Workshop Computational Intelligence, Dortmund Germany</i>, edited by Eyke Hüllermeier, F. Hoffmann, and R. Mikut, 1–8. KIT Scientific Publishing, 2016.","ieee":"S. Lu and E. Hüllermeier, “Support vector classification on noisy data using fuzzy superset losses,” in <i>in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany</i>, 2016, pp. 1–8.","ama":"Lu S, Hüllermeier E. Support vector classification on noisy data using fuzzy superset losses. In: Hüllermeier E, Hoffmann F, Mikut R, eds. <i>In Proceedings 26th Workshop Computational Intelligence, Dortmund Germany</i>. KIT Scientific Publishing; 2016:1-8."},"page":"1-8","title":"Support vector classification on noisy data using fuzzy superset losses","publisher":"KIT Scientific Publishing","date_updated":"2022-01-06T06:52:23Z","author":[{"first_name":"S.","full_name":"Lu, S.","last_name":"Lu"},{"id":"48129","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","first_name":"Eyke"}],"date_created":"2019-12-19T16:40:33Z","editor":[{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke"},{"first_name":"F.","full_name":"Hoffmann, F.","last_name":"Hoffmann"},{"full_name":"Mikut, R.","last_name":"Mikut","first_name":"R."}],"status":"public","type":"conference","publication":"in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany","language":[{"iso":"eng"}],"_id":"15403","user_id":"49109","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}]},{"status":"public","type":"conference","publication":"in Workshop LWDA \"Lernen, Wissen, Daten, Analysen\" Potsdam, Germany","language":[{"iso":"eng"}],"_id":"15404","user_id":"49109","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"year":"2016","citation":{"ama":"Schäfer D, Hüllermeier E. Plackett-Luce networks for dyad ranking. In: <i>In Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany</i>. ; 2016.","ieee":"D. Schäfer and E. Hüllermeier, “Plackett-Luce networks for dyad ranking,” in <i>in Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany</i>, 2016.","chicago":"Schäfer, D., and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.” In <i>In Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany</i>, 2016.","short":"D. Schäfer, E. Hüllermeier, in: In Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany, 2016.","mla":"Schäfer, D., and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.” <i>In Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany</i>, 2016.","bibtex":"@inproceedings{Schäfer_Hüllermeier_2016, title={Plackett-Luce networks for dyad ranking}, booktitle={in Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany}, author={Schäfer, D. and Hüllermeier, Eyke}, year={2016} }","apa":"Schäfer, D., &#38; Hüllermeier, E. (2016). Plackett-Luce networks for dyad ranking. In <i>in Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany</i>."},"title":"Plackett-Luce networks for dyad ranking","date_updated":"2022-01-06T06:52:23Z","author":[{"first_name":"D.","last_name":"Schäfer","full_name":"Schäfer, D."},{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129"}],"date_created":"2019-12-19T16:43:27Z"},{"type":"conference","publication":"In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands","status":"public","_id":"15111","user_id":"49109","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"language":[{"iso":"eng"}],"year":"2016","citation":{"chicago":"Pfannschmidt, Karlson, Eyke Hüllermeier, S. Held, and R. Neiger. “Evaluating Tests in Medical  Diagnosis-Combining Machine Learning with Game-Theoretical Concepts.” In <i>In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands</i>, 450–61. Springer, 2016.","ieee":"K. Pfannschmidt, E. Hüllermeier, S. Held, and R. Neiger, “Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts,” in <i>In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands</i>, 2016, pp. 450–461.","ama":"Pfannschmidt K, Hüllermeier E, Held S, Neiger R. Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts. In: <i>In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands</i>. Springer; 2016:450-461.","short":"K. Pfannschmidt, E. Hüllermeier, S. Held, R. Neiger, in: In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, Springer, 2016, pp. 450–461.","bibtex":"@inproceedings{Pfannschmidt_Hüllermeier_Held_Neiger_2016, title={Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts}, booktitle={In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands}, publisher={Springer}, author={Pfannschmidt, Karlson and Hüllermeier, Eyke and Held, S. and Neiger, R.}, year={2016}, pages={450–461} }","mla":"Pfannschmidt, Karlson, et al. “Evaluating Tests in Medical  Diagnosis-Combining Machine Learning with Game-Theoretical Concepts.” <i>In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands</i>, Springer, 2016, pp. 450–61.","apa":"Pfannschmidt, K., Hüllermeier, E., Held, S., &#38; Neiger, R. (2016). Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts. In <i>In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands</i> (pp. 450–461). 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