--- _id: '15779' author: - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: S. full_name: Vanderlooy, S. last_name: Vanderlooy citation: ama: 'Hüllermeier E, Vanderlooy S. Weighted voting as approximate MAP prediction in pairwise classification. In: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany. ; 2008:34-41.' apa: Hüllermeier, E., & Vanderlooy, S. (2008). Weighted voting as approximate MAP prediction in pairwise classification. In In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany (pp. 34–41). bibtex: '@inproceedings{Hüllermeier_Vanderlooy_2008, title={Weighted voting as approximate MAP prediction in pairwise classification}, booktitle={In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany}, author={Hüllermeier, Eyke and Vanderlooy, S.}, year={2008}, pages={34–41} }' chicago: Hüllermeier, Eyke, and S. Vanderlooy. “Weighted Voting as Approximate MAP Prediction in Pairwise Classification.” In In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 34–41, 2008. ieee: E. Hüllermeier and S. Vanderlooy, “Weighted voting as approximate MAP prediction in pairwise classification,” in In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 34–41. mla: Hüllermeier, Eyke, and S. Vanderlooy. “Weighted Voting as Approximate MAP Prediction in Pairwise Classification.” In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 34–41. short: 'E. Hüllermeier, S. Vanderlooy, in: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 34–41.' date_created: 2020-02-04T16:09:07Z date_updated: 2022-01-06T06:52:32Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 34-41 publication: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany status: public title: Weighted voting as approximate MAP prediction in pairwise classification type: conference user_id: '49109' year: '2008' ... --- _id: '15780' author: - first_name: T. full_name: Fober, T. last_name: Fober - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: M. full_name: Mernberger, M. last_name: Mernberger citation: ama: 'Fober T, Hüllermeier E, Mernberger M. Evolutionary construction of multiple graph alignments for mining structured biomolecular data . In: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany. ; 2008:27-33.' apa: Fober, T., Hüllermeier, E., & Mernberger, M. (2008). Evolutionary construction of multiple graph alignments for mining structured biomolecular data . In In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany (pp. 27–33). bibtex: '@inproceedings{Fober_Hüllermeier_Mernberger_2008, title={Evolutionary construction of multiple graph alignments for mining structured biomolecular data }, booktitle={In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany}, author={Fober, T. and Hüllermeier, Eyke and Mernberger, M.}, year={2008}, pages={27–33} }' chicago: Fober, T., Eyke Hüllermeier, and M. Mernberger. “Evolutionary Construction of Multiple Graph Alignments for Mining Structured Biomolecular Data .” In In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 27–33, 2008. ieee: T. Fober, E. Hüllermeier, and M. Mernberger, “Evolutionary construction of multiple graph alignments for mining structured biomolecular data ,” in In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 27–33. mla: Fober, T., et al. “Evolutionary Construction of Multiple Graph Alignments for Mining Structured Biomolecular Data .” In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 27–33. short: 'T. Fober, E. Hüllermeier, M. Mernberger, in: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany, 2008, pp. 27–33.' date_created: 2020-02-04T16:12:58Z date_updated: 2022-01-06T06:52:32Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 27-33 publication: In Proceedings Workshop LWA-2008, Lernen-Wissensentdeckung-Adaptivität, Würzburg, Germany status: public title: 'Evolutionary construction of multiple graph alignments for mining structured biomolecular data ' type: conference user_id: '49109' year: '2008' ... --- _id: '15781' author: - first_name: T. full_name: Fober, T. last_name: Fober - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: M. full_name: Mernberger, M. last_name: Mernberger citation: ama: 'Fober T, Hüllermeier E, Mernberger M. Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. In: Beyer A, Schroeder M, eds. IIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008. ; 2008:44-53.' apa: Fober, T., Hüllermeier, E., & Mernberger, M. (2008). Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules. In A. Beyer & M. Schroeder (Eds.), iIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008 (pp. 44–53). bibtex: '@inproceedings{Fober_Hüllermeier_Mernberger_2008, title={Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules}, booktitle={iIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008}, author={Fober, T. and Hüllermeier, Eyke and Mernberger, M.}, editor={Beyer, A. and Schroeder, M.Editors}, year={2008}, pages={44–53} }' chicago: Fober, T., Eyke Hüllermeier, and M. Mernberger. “Evolutionary Construction of Multiple Graph Alignments for the Structural Analysis of Biomolecules.” In IIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008, edited by A. Beyer and M. Schroeder, 44–53, 2008. ieee: T. Fober, E. Hüllermeier, and M. Mernberger, “Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules,” in iIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008, 2008, pp. 44–53. mla: Fober, T., et al. “Evolutionary Construction of Multiple Graph Alignments for the Structural Analysis of Biomolecules.” IIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008, edited by A. Beyer and M. Schroeder, 2008, pp. 44–53. short: 'T. Fober, E. Hüllermeier, M. Mernberger, in: A. Beyer, M. Schroeder (Eds.), IIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008, 2008, pp. 44–53.' date_created: 2020-02-04T16:17:52Z date_updated: 2022-01-06T06:52:32Z department: - _id: '34' - _id: '7' - _id: '355' editor: - first_name: A. full_name: Beyer, A. last_name: Beyer - first_name: M. full_name: Schroeder, M. last_name: Schroeder language: - iso: eng page: 44-53 publication: iIn Proceedings GCB-2008, Germany Conference on Bioinformatics, Dresden 2008 status: public title: Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules type: conference user_id: '49109' year: '2008' ... --- _id: '16164' author: - first_name: J. full_name: Hühn, J. last_name: Hühn - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Hühn J, Hüllermeier E. Is an ordinal class structure useful in classifier learning? International Journal of Data Mining, Modeling and Management . 2008;1(1):45-67. apa: Hühn, J., & Hüllermeier, E. (2008). Is an ordinal class structure useful in classifier learning? International Journal of Data Mining, Modeling and Management , 1(1), 45–67. bibtex: '@article{Hühn_Hüllermeier_2008, title={Is an ordinal class structure useful in classifier learning?}, volume={1}, number={1}, journal={International Journal of Data Mining, Modeling and Management }, author={Hühn, J. and Hüllermeier, Eyke}, year={2008}, pages={45–67} }' chicago: 'Hühn, J., and Eyke Hüllermeier. “Is an Ordinal Class Structure Useful in Classifier Learning?” International Journal of Data Mining, Modeling and Management 1, no. 1 (2008): 45–67.' ieee: J. Hühn and E. Hüllermeier, “Is an ordinal class structure useful in classifier learning?,” International Journal of Data Mining, Modeling and Management , vol. 1, no. 1, pp. 45–67, 2008. mla: Hühn, J., and Eyke Hüllermeier. “Is an Ordinal Class Structure Useful in Classifier Learning?” International Journal of Data Mining, Modeling and Management , vol. 1, no. 1, 2008, pp. 45–67. short: J. Hühn, E. Hüllermeier, International Journal of Data Mining, Modeling and Management 1 (2008) 45–67. date_created: 2020-02-28T14:56:58Z date_updated: 2022-01-06T06:52:44Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 1' issue: '1' language: - iso: eng page: 45-67 publication: 'International Journal of Data Mining, Modeling and Management ' status: public title: Is an ordinal class structure useful in classifier learning? type: journal_article user_id: '49109' volume: 1 year: '2008' ... --- _id: '16166' author: - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: J. full_name: Fürnkranz, J. last_name: Fürnkranz - first_name: W. full_name: Cheng, W. last_name: Cheng - first_name: K. full_name: Brinker, K. last_name: Brinker citation: ama: Hüllermeier E, Fürnkranz J, Cheng W, Brinker K. Label ranking by learning pairwise preferences. Artificial Intelligence. 2008;172:1897-1917. apa: Hüllermeier, E., Fürnkranz, J., Cheng, W., & Brinker, K. (2008). Label ranking by learning pairwise preferences. Artificial Intelligence, 172, 1897–1917. bibtex: '@article{Hüllermeier_Fürnkranz_Cheng_Brinker_2008, title={Label ranking by learning pairwise preferences}, volume={172}, journal={Artificial Intelligence}, author={Hüllermeier, Eyke and Fürnkranz, J. and Cheng, W. and Brinker, K.}, year={2008}, pages={1897–1917} }' chicago: 'Hüllermeier, Eyke, J. Fürnkranz, W. Cheng, and K. Brinker. “Label Ranking by Learning Pairwise Preferences.” Artificial Intelligence 172 (2008): 1897–1917.' ieee: E. Hüllermeier, J. Fürnkranz, W. Cheng, and K. Brinker, “Label ranking by learning pairwise preferences,” Artificial Intelligence, vol. 172, pp. 1897–1917, 2008. mla: Hüllermeier, Eyke, et al. “Label Ranking by Learning Pairwise Preferences.” Artificial Intelligence, vol. 172, 2008, pp. 1897–917. short: E. Hüllermeier, J. Fürnkranz, W. Cheng, K. Brinker, Artificial Intelligence 172 (2008) 1897–1917. date_created: 2020-02-28T15:02:10Z date_updated: 2022-01-06T06:52:44Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 172' language: - iso: eng page: 1897-1917 publication: Artificial Intelligence status: public title: Label ranking by learning pairwise preferences type: journal_article user_id: '49109' volume: 172 year: '2008' ... --- _id: '16167' author: - first_name: S. full_name: Vanderlooy, S. last_name: Vanderlooy - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Vanderlooy S, Hüllermeier E. A critical analysis of variants of the AUC. Machine Learning. 2008;72:247-272. apa: Vanderlooy, S., & Hüllermeier, E. (2008). A critical analysis of variants of the AUC. Machine Learning, 72, 247–272. bibtex: '@article{Vanderlooy_Hüllermeier_2008, title={A critical analysis of variants of the AUC}, volume={72}, journal={Machine Learning}, author={Vanderlooy, S. and Hüllermeier, Eyke}, year={2008}, pages={247–272} }' chicago: 'Vanderlooy, S., and Eyke Hüllermeier. “A Critical Analysis of Variants of the AUC.” Machine Learning 72 (2008): 247–72.' ieee: S. Vanderlooy and E. Hüllermeier, “A critical analysis of variants of the AUC,” Machine Learning, vol. 72, pp. 247–272, 2008. mla: Vanderlooy, S., and Eyke Hüllermeier. “A Critical Analysis of Variants of the AUC.” Machine Learning, vol. 72, 2008, pp. 247–72. short: S. Vanderlooy, E. Hüllermeier, Machine Learning 72 (2008) 247–272. date_created: 2020-02-28T15:04:31Z date_updated: 2022-01-06T06:52:44Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 72' language: - iso: eng page: 247-272 publication: Machine Learning status: public title: A critical analysis of variants of the AUC type: journal_article user_id: '49109' volume: 72 year: '2008' ... --- _id: '16168' author: - first_name: J. full_name: Fürnkranz, J. last_name: Fürnkranz - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: E. full_name: Mencia, E. last_name: Mencia - first_name: K. full_name: Brinker, K. last_name: Brinker citation: ama: Fürnkranz J, Hüllermeier E, Mencia E, Brinker K. Multilabel classification via calibrated label ranking. Machine Learning. 2008;73(2):133-153. apa: Fürnkranz, J., Hüllermeier, E., Mencia, E., & Brinker, K. (2008). Multilabel classification via calibrated label ranking. Machine Learning, 73(2), 133–153. bibtex: '@article{Fürnkranz_Hüllermeier_Mencia_Brinker_2008, title={Multilabel classification via calibrated label ranking}, volume={73}, number={2}, journal={Machine Learning}, author={Fürnkranz, J. and Hüllermeier, Eyke and Mencia, E. and Brinker, K.}, year={2008}, pages={133–153} }' chicago: 'Fürnkranz, J., Eyke Hüllermeier, E. Mencia, and K. Brinker. “Multilabel Classification via Calibrated Label Ranking.” Machine Learning 73, no. 2 (2008): 133–53.' ieee: J. Fürnkranz, E. Hüllermeier, E. Mencia, and K. Brinker, “Multilabel classification via calibrated label ranking,” Machine Learning, vol. 73, no. 2, pp. 133–153, 2008. mla: Fürnkranz, J., et al. “Multilabel Classification via Calibrated Label Ranking.” Machine Learning, vol. 73, no. 2, 2008, pp. 133–53. short: J. Fürnkranz, E. Hüllermeier, E. Mencia, K. Brinker, Machine Learning 73 (2008) 133–153. date_created: 2020-02-28T15:07:10Z date_updated: 2022-01-06T06:52:44Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 73' issue: '2' language: - iso: eng page: 133-153 publication: Machine Learning status: public title: Multilabel classification via calibrated label ranking type: journal_article user_id: '49109' volume: 73 year: '2008' ... --- _id: '16169' author: - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: K. full_name: Brinker, K. last_name: Brinker citation: ama: Hüllermeier E, Brinker K. Learning valued preference structures for solving classification problems. Fuzzy Sets and Systems. 2008;159(18):2337-2352. apa: Hüllermeier, E., & Brinker, K. (2008). Learning valued preference structures for solving classification problems. Fuzzy Sets and Systems, 159(18), 2337–2352. bibtex: '@article{Hüllermeier_Brinker_2008, title={Learning valued preference structures for solving classification problems}, volume={159}, number={18}, journal={Fuzzy Sets and Systems}, author={Hüllermeier, Eyke and Brinker, K.}, year={2008}, pages={2337–2352} }' chicago: 'Hüllermeier, Eyke, and K. Brinker. “Learning Valued Preference Structures for Solving Classification Problems.” Fuzzy Sets and Systems 159, no. 18 (2008): 2337–52.' ieee: E. Hüllermeier and K. Brinker, “Learning valued preference structures for solving classification problems,” Fuzzy Sets and Systems, vol. 159, no. 18, pp. 2337–2352, 2008. mla: Hüllermeier, Eyke, and K. Brinker. “Learning Valued Preference Structures for Solving Classification Problems.” Fuzzy Sets and Systems, vol. 159, no. 18, 2008, pp. 2337–52. short: E. Hüllermeier, K. Brinker, Fuzzy Sets and Systems 159 (2008) 2337–2352. date_created: 2020-02-28T15:11:57Z date_updated: 2022-01-06T06:52:44Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 159' issue: '18' language: - iso: eng page: 2337-2352 publication: Fuzzy Sets and Systems status: public title: Learning valued preference structures for solving classification problems type: journal_article user_id: '49109' volume: 159 year: '2008' ... --- _id: '16184' author: - first_name: J. full_name: Beringer, J. last_name: Beringer - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Beringer J, Hüllermeier E. Case-based learning in a bipolar possibilistic framework. International Journal of Intelligent Systems. 2008;23(10):1119-1134. apa: Beringer, J., & Hüllermeier, E. (2008). Case-based learning in a bipolar possibilistic framework. International Journal of Intelligent Systems, 23(10), 1119–1134. bibtex: '@article{Beringer_Hüllermeier_2008, title={Case-based learning in a bipolar possibilistic framework}, volume={23}, number={10}, journal={International Journal of Intelligent Systems}, author={Beringer, J. and Hüllermeier, Eyke}, year={2008}, pages={1119–1134} }' chicago: 'Beringer, J., and Eyke Hüllermeier. “Case-Based Learning in a Bipolar Possibilistic Framework.” International Journal of Intelligent Systems 23, no. 10 (2008): 1119–34.' ieee: J. Beringer and E. Hüllermeier, “Case-based learning in a bipolar possibilistic framework,” International Journal of Intelligent Systems, vol. 23, no. 10, pp. 1119–1134, 2008. mla: Beringer, J., and Eyke Hüllermeier. “Case-Based Learning in a Bipolar Possibilistic Framework.” International Journal of Intelligent Systems, vol. 23, no. 10, 2008, pp. 1119–34. short: J. Beringer, E. Hüllermeier, International Journal of Intelligent Systems 23 (2008) 1119–1134. date_created: 2020-02-28T16:00:00Z date_updated: 2022-01-06T06:52:44Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 23' issue: '10' language: - iso: eng page: 1119-1134 publication: International Journal of Intelligent Systems status: public title: Case-based learning in a bipolar possibilistic framework type: journal_article user_id: '49109' volume: 23 year: '2008' ... --- _id: '16225' author: - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Hüllermeier E. Granular computing in machine learning and data mining. In: Pedrycz W, Skowron A, Kreinovich V, eds. Handbook on Granular Computing. John Wiley and Sons; 2008:889-906.' apa: Hüllermeier, E. (2008). Granular computing in machine learning and data mining. In W. Pedrycz, A. Skowron, & V. Kreinovich (Eds.), Handbook on Granular Computing (pp. 889–906). John Wiley and Sons. bibtex: '@inbook{Hüllermeier_2008, title={Granular computing in machine learning and data mining}, booktitle={Handbook on Granular Computing}, publisher={John Wiley and Sons}, author={Hüllermeier, Eyke}, editor={Pedrycz, W. and Skowron, A. and Kreinovich, V.Editors}, year={2008}, pages={889–906} }' chicago: Hüllermeier, Eyke. “Granular Computing in Machine Learning and Data Mining.” In Handbook on Granular Computing, edited by W. Pedrycz, A. Skowron, and V. Kreinovich, 889–906. John Wiley and Sons, 2008. ieee: E. Hüllermeier, “Granular computing in machine learning and data mining,” in Handbook on Granular Computing, W. Pedrycz, A. Skowron, and V. Kreinovich, Eds. John Wiley and Sons, 2008, pp. 889–906. mla: Hüllermeier, Eyke. “Granular Computing in Machine Learning and Data Mining.” Handbook on Granular Computing, edited by W. Pedrycz et al., John Wiley and Sons, 2008, pp. 889–906. short: 'E. Hüllermeier, in: W. Pedrycz, A. Skowron, V. Kreinovich (Eds.), Handbook on Granular Computing, John Wiley and Sons, 2008, pp. 889–906.' date_created: 2020-03-03T16:04:44Z date_updated: 2022-01-06T06:52:46Z department: - _id: '34' - _id: '7' - _id: '355' editor: - first_name: W. full_name: Pedrycz, W. last_name: Pedrycz - first_name: A. full_name: Skowron, A. last_name: Skowron - first_name: V. full_name: Kreinovich, V. last_name: Kreinovich language: - iso: eng page: 889-906 publication: Handbook on Granular Computing publisher: John Wiley and Sons status: public title: Granular computing in machine learning and data mining type: book_chapter user_id: '49109' year: '2008' ...