Sang-Hyeun Park
First name(s): Sang-Hyeun
Last name(s): Park

Publications of Sang-Hyeun Park
2014
2012
Sang-Hyeun Park and Johannes Fürnkranz, Efficient prediction algorithms for binary decomposition techniques (2012), in: Data Mining and Knowledge Discovery, 24:1(40-77)
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Johannes Fürnkranz and Sang-Hyeun Park, Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label Prediction, in: Proceedings of the 15th International Conference on Discovery Science (DS-12), pages 254--267, Springer, 2012
[DOI]
2011
Weiwei Cheng, Johannes Fürnkranz, Eyke Hüllermeier and Sang-Hyeun Park, Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning, in: Proceedings of the 22nd European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2011, Athens, Greece), Part I, pages 312--327, Springer, 2011
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2010
Sang-Hyeun Park, Lorenz Weizsäcker and Johannes Fürnkranz, Exploiting Code Redundancies in ECOC, in: Proceedings of the 13th International Conference on Discovery Science (DS-10), pages 266--280, Springer, 2010
[DOI]
2009
Immanuel Schweizer, Kamill Panitzek, Sang-Hyeun Park and Johannes Fürnkranz, An Exploitative Monte-Carlo Poker Agent, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2009-02, 2009
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Immanuel Schweizer, Kamill Panitzek, Sang-Hyeun Park and Johannes Fürnkranz, An Exploitative Monte-Carlo Poker Agent, in: Proceedings of the 32nd Annual German Conference on Artificial Intelligence (KI 2009, Paderborn, Germany), pages 65--72, Springer, 2009
[DOI]
Immanuel Schweizer, Kamill Panitzek, Sang-Hyeun Park and Johannes Fürnkranz, An Exploitative Monte-Carlo Poker Agent, in: Proceedings of the LWA 2009: Lernen -- Wissen -- Adaption, Workshop Knowledge Discovery, Data Mining and Machine Learning (KDML-09), pages 100--104, 2009
Sang-Hyeun Park and Johannes Fürnkranz, Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification, in: Proceedings of the 20th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2009, Bled, Slovenia), Part II, pages 189--204, Springer, 2009
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[DOI]
Eneldo Loza Mencía, Sang-Hyeun Park and Johannes Fürnkranz, Efficient Voting Prediction for Pairwise Multilabel Classification, in: Proceedings of the 17th European Symposium on Artificial Neural Networks (ESANN 2009, Bruges, Belgium), pages 117--122, d-side publications, 2009
[URL]
Eneldo Loza Mencía, Sang-Hyeun Park and Johannes Fürnkranz, Efficient Voting Prediction for Pairwise Multilabel Classification, in: Proceedings of the LWA 2009: Lernen - Wissen - Adaption, Workshop Knowledge Discovery, Data Mining and Machine Learning (KDML-09), Darmstadt, Germany, pages 72--75, 2009
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Grigorios Tsoumakas, Eneldo Loza Mencía, Ioannis Katakis, Sang-Hyeun Park and Johannes Fürnkranz, On the Combination of Two Decompositive Multi-Label Classification Methods, in: Proceedings of the ECML PKDD 2009 Workshop on Preference Learning (PL-09, Bled, Slovenia), pages 114--129, 2009
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2008
Eneldo Loza Mencía, Sang-Hyeun Park and Johannes Fürnkranz, Advances in Efficient Pairwise Multilabel Classification, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-06, 2008
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Sang-Hyeun Park and Johannes Fürnkranz, Multi-Label Classification with Label Constraints, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-04, 2008
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Sang-Hyeun Park and Johannes Fürnkranz, Multi-Label Classification with Label Constraints, in: Proceedings of the ECML PKDD 2008 Workshop on Preference Learning (PL-08, Antwerp, Belgium), pages 157--171, 2008
[URL]
2007
Sang-Hyeun Park and Johannes Fürnkranz, Efficient Pairwise Classification, in: Proceedings of the 18th European Conference on Machine Learning (ECML 2007, Warsaw, Poland), pages 658--665, Springer-Verlag, 2007
[DOI]
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Sang-Hyeun Park and Johannes Fürnkranz, Efficient Pairwise Classification and Ranking, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-03, 2007
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2006
Sang-Hyeun Park, Effiziente Klassifikation und Ranking mit paarweisen Vergleichen, TU Darmstadt, Knowledge Engineering Group, 2006
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