Publications List
Topic: JF
Publications for topic "JF" sorted by first author
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LWA 2005, Lernen Wissensentdeckung Adaptivität, German Research Center for Artificial Intelligence (DFKI), 2005 |
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Timing, Sequencing, and Quantum of Life Course Events: A Machine Learning Approach (2006), in: European Journal of Population, 22:1(37--65) | , and ,
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Timing, Sequencing, and Quantum of Life Course Events: A Machine Learning Approach, Max Planck Institute for Demographic Research, number WP 2000-010, MPIDR Working Paper, 2000 | , and ,
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Timing, Sequencing, and Quantum of Life Course Events: A Machine Learning Approach, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2000-30, 2000 | , and ,
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On the Cultural Evoluation of Age-at-marriage Norms, in: Agent-Based Computational Demography, pages 139--157, Physica-Verlag / Springer, 2003 | , and ,
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Detecting Temporal Change in Event Sequences: An Application to Demographic Data, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-09, 2001 | , , and ,
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Detecting Temporal Change in Event Sequences: An Application to Demographic Data, in: Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD-01), pages 29--41, Springer-Verlag, 2001 | , , and ,
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Special Issue on Machine Learning and Games (2006), in: Machine Learning, 63:3 | , , and ,
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Guest Editorial: Machine Learning and Games (2006), in: Machine Learning, 63:3(211--215) | , , and ,
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Graded Multilabel Classification by Pairwise Comparisons, in: 2014 IEEE International Conference on Data Mining (ICDM 2014), pages 731--736, Curran Associates, IEEE, 2014 | , and ,
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Label Ranking by Learning Pairwise Preferences, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-01, 2007 | , and ,
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A Unified Model for Multilabel Classification and Ranking, in: Proceedings of the 17th European Conference on Artificial Intelligence (ECAI-06), pages 489--493, 2006 | , and ,
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Case-Based Label Ranking, in: Proceedings of the 17th European Conference on Machine Learning (ECML-06), pages 566--573, Springer-Verlag, 2006 | and ,
Comparing Boosting and Bagging for Decision Trees of Rankings (2021), in: Journal of Classification | , , and ,
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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 | , , and ,
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From Local Patterns to Global Models: The LeGo Approach to Data Mining, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-06, 2007 | , , and ,
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Driver Information Embedding with Siamese LSTM networks, in: 2019 IEEE Intelligent Vehicles Symposium (IV), Paris, France, IEEE, 2019 | and ,
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Using Past Maneuver Executions for Personalization of a Driver Model, in: Proceedings of the 21th IEEE International Conference on Intelligent Transportation Systems (ITSC-18), Maui, Hawaii, pages 742--748, IEEE, 2018 | and ,
Exploiting Maneuver Dependency for Personalization of Driver Assistance Systems, in: 12. Uni-DAS e.V. Workshop Fahrerassistenz und automatisiertes Fahren. Uni-DAS, pages 106--115, 2018 | and ,
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Exploiting Maneuver Dependency for Personalization of a Driver Model, in: Proceedings of the Conference ``Lernen, Wissen, Daten, Analysen'' ({LWDA}-18), pages 93--97, CEUR-WS.org, 2018 | and ,
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Time-to-Lane-Change Prediction with Deep Learning, in: Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems (ITSC-17), IEEE, 2017 | , , and ,
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Learning Analogy-Preserving Sentence Embeddings for Answer Selection, in: Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 910--919, Association for Computational Linguistics, 2019 | , and ,
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PLAY: A Profiled Linear Weighting Scheme for Understanding the Influence of Input Variables on the Output of a Deep Artificial Neural Network (2020), in: Archives of Data Science, Series A | , , and ,
Learning of Piece Values for Chess Variants, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-07, 2008 | and ,
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Learning the Piece Values for Three Chess Variants (2008), in: International Computer Games Association Journal, 31:4(209--233) | and ,
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Modeling International Negotiation: Statistical and Machine Learning Approaches, in: Programming for Peace: Computer-Aided Methods for International Conflict Resolution and Prevention, pages 227--250, Kluwer Academic Publishers, 2006 | , and ,
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Multi-label LeGo -- Enhancing Multi-label Classifiers with Local Patterns, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD-KE-2012-02, 2012 | , , and ,
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Multi-label LeGo -- Enhancing Multi-label Classifiers with Local Patterns, in: Advances in Intelligent Data Analysis XI -- Proceedings of the 11th International Symposium on Data Analysis (IDA-11), Berlin, pages 114--125, Springer, 2012 | , , and ,
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Beta Distribution Drift Detection for Adaptive Classifiers, in: Proceedings of the 2019 European Symposium on Artificial Neural Networks -- ESANN'19, 2019 | , and ,
Determining Factors for Slum Growth with Predictive Data Mining Methods (2018), in: Urban Science, 2:3(81:1--81:19) | , , and ,
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Recent Advances in Machine Learning and Game Playing (2007), in: ÖGAI Journal, 26:2 | ,
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Round Robin Ensembles (2003), in: Intelligent Data Analysis, 7:5(385--404) | ,
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Modeling Rule Precision, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2003-35, 2003 | ,
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Round Robin Classification (2002), in: Journal of Machine Learning Research, 2(721--747) | ,
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Hyperlink Ensembles: A Case Study in Hypertext Classification (2002), in: Information Fusion, 3:4(299--312) | ,
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Pairwise Classification as an Ensemble Technique, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2002-20, 2002 | ,
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A Pathology of Bottom-Up Hill-Climbing in Inductive Rule Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2002-28, 2002 | ,
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Web Structure Mining --- Exploiting the Graph Structure of the World-Wide Web, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2002-33, 2002 | ,
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Web Structure Mining --- Exploiting the Graph Structure of the World-Wide Web (2002), in: ÖGAI Journal, 21:2(17--26) | ,
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Round Robin Ensembles, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2002-37, 2002 | ,
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Round Robin Rule Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-02, 2001 | ,
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Round Robin Classification, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-18, 2001 | ,
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Inductive Rule Learning for Data and Web Mining, Habilitationsschrift, Technisch-Naturwissenschaftliche Fakult{\"a}t, Technische Universi{\"a}t Wien, 2001 | ,
Hyperlink Ensembles: A Case Study in Hypertext Classification, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-30, 2001 | ,
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Machine Learning in Games: A Survey, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2000-31, 2000 | ,
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Separate-and-Conquer Rule Learning (1999), in: Artificial Intelligence Review, 13:1(3--54) | ,
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Integrative Windowing (1998), in: Journal of Artificial Intelligence Research, 8(129--164) | ,
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Using Links for Classifying Web-Pages, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-98-29, 1998 | ,
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A Study Using $n$-gram Features for Text Categorization, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-98-30, 1998 | ,
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Pruning Algorithms for Rule Learning (1997), in: Machine Learning, 27:2(139--171) | ,
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More Efficient Windowing, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-97-01, 1997 | ,
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More Efficient Windowing, in: Proceedings of the 14th National Conference on Artificial Intelligence (AAAI-97), pages 509-514, AAAI Press, 1997 | ,
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Noise-Tolerant Windowing, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-97-07, 1997 | ,
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Noise-Tolerant Windowing, in: Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI-97), pages 852--857, Morgan Kaufmann, 1997 | ,
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Dimensionality Reduction in ILP: A Call to Arms, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-97-26, 1997 | ,
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Knowledge Discovery in Chess Databases: A Research Proposal, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-97-33, 1997 | ,
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Bericht über IJCAI-97 und AAAI-97 (1997), in: ÖGAI--Journal, 16:3(30--33) | ,
Pruning Algorithms for Rule Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-96-07, 1996 | ,
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Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-96-10, 1996 | ,
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Machine Learning in Computer Chess: The Next Generation, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-96-11, 1996 | ,
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Machine Learning in Computer Chess: The Next Generation (1996), in: International Computer Chess Association Journal, 19:3(147--161) | ,
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Separate-and-Conquer Rule Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-96-25, 1996 | ,
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Bibliography on Machine Learning in Strategic Game Playing, \url{/~juffi/lig/}, 1995--2000 | ,
A Tight Integration of Pruning and Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-95-03, 1995 | ,
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Efficient Pruning Methods for Relational Learning (Extended Thesis Abstract) (1995), in: AI Communications, 8:2(105--106) | ,
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A Brief Introduction to Knowledge Discovery in Databases (1995), in: ÖGAI--Journal, 14:4(14--17) | ,
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Top-Down Pruning in Relational Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-94-03, 1994 | ,
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A Comparison of Pruning Methods for Relational Concept Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-94-16, 1994 | ,
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Pruning Methods for Rule Learning Algorithms, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-94-26, 1994 | ,
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Efficient Pruning Methods for Relational Learning, Vienna University of Technology, 1994 | ,
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Bericht über The 11th International Conference on Machine Learning (ML-94) (1994), in: ÖGAI--Journal, 13:2(3--4) | ,
Inductive Logic Programming (A Short Introduction and a Thesis Abstract) (1994), in: ÖGAI--Journal, 13:3--4(3--8) | ,
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The Role of Qualitative Knowledge in Machine Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-93-09, 1993 | ,
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Avoiding Noise Fitting in a {\sc Foil}-like Learning Algorithm, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-93-16, 1993 | ,
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Avoiding Noise Fitting in a {\sc Foil}-like Learning Algorithm, in: Proceedings of the IJCAI-93 Workshop on Inductive Logic Programming, pages 14--23, 1993 | ,
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Bericht über The 13th International Conference on Artificial Intelligence (IJCAI-93) (1993), in: ÖGAI--Journal, 12:1--2(10--12) | ,
{\sc Fossil}: {A} robust relational learner, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-93-28, 1993 | ,
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Application of Machine Learning Methods to the KOSIMO Database, Paper presented at the International Workshop on the Potential Contribution of Artificial Intelligence to the Avoidance of Crises and Wars, Vienna, 1993 | ,
A Numerical Analysis of the KRK Domain, Working Note, 1993 | ,
Induktives Lernen durch Generieren von Decision Trees, Vienna University of Technology, 1991 | ,
Explanation-Based Learning in der Domäne Schach, Unpublished Manuscript, 1990 | ,
Modeling Rule Precision, in: Lernen -- Wissensentdeckung --- Adaptivität. Proceedings of the LWA-04 Workshops, pages 147--154, 2004 | ,
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{\sc Fossil}: {A} Robust Relational Learner, in: Proceedings of the 7th European Conference on Machine Learning (ECML-94), pages 122--137, Springer-Verlag, 1994 | ,
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Round Robin Rule Learning, in: Proceedings of the 18th International Conference on Machine Learning (ICML-01), pages 146--153, Morgan Kaufmann Publishers, 2001 | ,
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A Pathology of Bottom-Up Hill-Climbing in Inductive Rule Learning, in: Proceedings of the 13th European Conference on Algorithmic Learning Theory (ALT-02), pages 263--277, Springer-Verlag, 2002 | ,
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Top-Down Pruning in Relational Learning, in: Proceedings of the 11th European Conference on Artificial Intelligence (ECAI-94), pages 453--457, John Wiley \& Sons, 1994 | ,
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Learning Playing Strategies from Chess Endgame Databases: An ILP Approach, Unpublished, Leuven, 1997 | and ,
Dimensionality Reduction in ILP: A Call to Arms, in: Proceedings of the IJCAI-97 Workshop on Frontiers of Inductive Logic Programming, pages 81--86, 1997 | ,
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Rule-Based Methods, in: Encyclopedia of Systems Biology, Springer-Verlag, 2013 | ,
Pairwise Classification as an Ensemble Technique, in: Proceedings of the 13th European Conference on Machine Learning (ECML-02), pages 97--110, Springer-Verlag, 2002 | ,
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A Comparison of Pruning Methods for Relational Concept Learning, in: Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop (KDD-94), pages 371--382, AAAI Press, 1994 | ,
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ROC 'n' Rule Learning -- Towards a Better Understanding of Covering Algorithms (2005), in: Machine Learning, 58:1(39--77) | and ,
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An Analysis of Rule Learning Heuristics, Department of Computer Science, University of Bristol, number CSTR-03-002, 2003 | and ,
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An Analysis of Stopping and Filtering Criteria for Rule Learning, in: Proceedings of the 15th European Conference on Machine Learning (ECML-04), pages 123--133, Springer-Verlag, 2004 | and ,
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An Analysis of Rule Evaluation Metrics, in: Proceedings of the 20th International Conference on Machine Learning (ICML-03), pages 202--209, AAAI Press, 2003 | and ,
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Modeling Rule Precision, in: Proceedings of the ECML/PKDD-04 Workshop on Advances in Inductive Rule Learning, pages 30--45, 2004 | ,
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Machine Learning in Games: A Survey, in: Machines that Learn to Play Games, pages 11--59, Nova Science Publishers, 2001 | ,
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Foundations of Rule Learning, Springer-Verlag, 2012 | , and ,
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Exploiting Structural Information for Text Classification on the WWW, in: Advances in Intelligent Data Analysis: Proceedings of the 3rd International Symposium (IDA-99), pages 487--497, Springer-Verlag, 1999 | ,
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User Profiling for the Melvil Knowledge Retrieval System (2002), in: Applied Artificial Intelligence, 16:4(243--281) | , and ,
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User Profiling for the Melvil Knowledge Retrieval System, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-29, 2001 | , and ,
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Special Issue on Discovery Science (2016), in: Information Sciences, 329(849--850) | and ,
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Proceedings of the ECML/PKDD-13 Workshop on Reinforcement Learning with Generalized Feedback: Beyond Numeric Rewards, 2013 |
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Preference Learning, Springer-Verlag, 2010 |
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Preference Learning (2005), in: Künstliche Intelligenz, 19:1(60--61) | and ,
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Pairwise Preference Learning and Ranking, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2003-14, 2003 | and ,
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Preference-based Reinforcement Learning: A Formal Framework and a Policy Iteration Algorithm (2012), in: Machine Learning, 89:1-2(123--156) | , , and ,
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Preference Learning: An Introduction, in: Preference Learning, pages 1--17, Springer-Verlag, 2010 | and ,
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Preference Learning and Ranking by Pairwise Comparison, in: Preference Learning, pages 65--82, Springer-Verlag, 2010 | and ,
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Proceedings of the 16th International Conference on Discovery Science (DS-13), Springer-Verlag, 2013 |
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Pairwise Preference Learning and Ranking, in: Preference Learning: Models, Methods, Applications -- Proceedings of the KI-2003 Workshop, 2003 | and ,
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Pairwise Preference Learning and Ranking, in: Proceedings of the 14th European Conference on Machine Learning (ECML-03), pages 145--156, Springer-Verlag, 2003 | and ,
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Multilabel Classification via Calibrated Label Ranking (2008), in: Machine Learning, 73:2(133--153) | , , and ,
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Learning Structured Declarative Rule Sets — A Challenge for Deep Discrete Learning, in: 2nd Workshop on Deep Continuous-Discrete Machine Learning (DeCoDeML), 2020 | , , and ,
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Preference Learning (Dagstuhl Seminar 14101) (2014), in: Dagstuhl Reports, 4:3(1--27) | , , , and ,
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Preference Learning, in: Encyclopedia of Machine Learning, pages 789--795, Springer-Verlag, 2010 | and ,
Preference Learning, in: Encyclopedia of the Sciences of Learning, pages 986, Springer-Verlag, 2012 | and ,
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Binary Decomposition Methods for Multipartite Ranking, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-09), pages 359--374, Springer-Verlag, 2009 | , and ,
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A Brief Overview of Rule Learning, in: Rule Technologies: Foundations, Tools, and Applications -- Proceedings of the 9th International Symposium (RuleML-15), pages 54--69, Springer, 2015 | and ,
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The Need for Interpretability Biases, in: Proceedings of the 17th International Symposium on Intelligent Data Analysis (IDA-18), 's-Hertogenbosch, the Netherlands, pages 15--27, Springer-Verlag, 2018 | and ,
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On Cognitive Preferences and the Plausibility of Rule-based Models (2018), in: arXiv preprint arXiv:1803.01316 | , and ,
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Guest Editorial: Global Modeling using Local Patterns (2010), in: Data Mining and Knowledge Discovery, 21:1(1--8) | and ,
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Machines that Learn to Play Games, Nova Science Publishers, Advances in Computation: Theory and Practice, volume 8, 2001 |
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Proceedings of the ICML-99 Workshop on Machine Learning in Game Playing, J. Stefan Institute (IJS), 1999 |
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Workshop Report: Machine Learning in Game Playing (1999), in: International Computer Chess Association Journal, 22:3(178,179,165) | and ,
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A Tight Integration of Pruning and Learning (Extended Abstract), in: Proceedings of the 8th European Conference on Machine Learning (ECML-95), pages 291--294, Springer-Verlag, 1995 | ,
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Web Mining, in: Data Mining and Knowledge Discovery Handbook, pages 913--930, Springer-Verlag, 2010 | ,
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Web Mining, in: Data Mining and Knowledge Discovery Handbook, pages 899--920, Springer-Verlag, 2005 | ,
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A Case Study in Using Linguistic Phrases for Text Categorization on the WWW, in: Learning for Text Categorization: Proceedings of the 1998 AAAI/ICML Workshop, pages 5--12, AAAI Press, 1998 | , and ,
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From Local to Global Patterns: Evaluation Issues in Rule Learning Algorithms, in: Local Pattern Detection, pages 20--38, Springer-Verlag, 2005 | ,
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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 | and ,
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An Evaluation of Landmarking Variants, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-13, 2001 | and ,
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On the Use of Fast Subsampling Estimates for Algorithm Recommendation, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2002-36, 2002 | , , and ,
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An Evaluation of Landmarking Variants, in: Proceedings of the ECML/PKDD Workshop on Integrating Aspects of Data Mining, Decision Support and Meta-Learning (IDDM-2001), pages 57--68, 2001 | and ,
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Knowledge Discovery in International Conflict Databases (1997), in: Applied Artificial Intelligence, 11:2(91--118) | , and ,
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Knowledge Discovery in International Conflict Databases, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-96-24, 1996 | , and ,
The Potential Contribution of AI to the Avoidance of Crises and Wars: International Conflict Databases and Machine Learning, Unpublished Manuscript, 1994 | , and ,
Machine Learning Methods for International Conflict Databases: A Case Study in Predicting Mediation Outcome, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-94-33, 1994 | , , and ,
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Guest Editorial: First-Order Knowledge Discovery in Databases (1998), in: Applied Artificial Intelligence, 12:5(345--361) | and ,
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Special Issue on First-Order Knowledge Discovery in Databases (1998), in: Applied Artificial Intelligence, 12:5 | and ,
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Learning to Use Operational Advice, in: Proceedings of the 14th European Conference on Artificial Intelligence (ECAI-00), pages 291--295, IOS Press, 2000 | , , and ,
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Machine Learning and Game Playing, in: Encyclopedia of Machine Learning, pages 633--637, Springer-Verlag, 2010 | ,
Rule Learning, in: Encyclopedia of Machine Learning, pages 875--879, Springer-Verlag, 2010 | ,
Decision Tree, in: Encyclopedia of Machine Learning, pages 263--267, Springer-Verlag, 2010 | ,
Decision List, in: Encyclopedia of Machine Learning, pages 261, Springer-Verlag, 2010 | ,
Decision Lists and Decision Trees, in: Encyclopedia of Machine Learning, pages 261--262, Springer-Verlag, 2010 | ,
Pruning, in: Encyclopedia of Machine Learning, pages 817, Springer-Verlag, 2010 | ,
Knowledge Discovery in Databases: PKDD 2006, Springer-Verlag, 2006 |
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Machine Learning: ECML 2006, Springer-Verlag, 2006 |
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On Exploiting Hierarchical Label Structure with Pairwise Classifiers (2010), in: SIGKDD Explorations, 12:2(21--25) | and ,
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Incremental Reduced Error Pruning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-94-09, 1994 | and ,
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Incremental Reduced Error Pruning, in: Proceedings of the 11th International Conference on Machine Learning (ML-94), pages 70--77, Morgan Kaufmann, 1994 | and ,
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Pruning Methods for Rule Learning Algorithms, in: Proceedings of the 4th International Workshop on Inductive Logic Programming (ILP-94), pages 321--336, 1994 | ,
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Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach, in: Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence (PRICAI-08), pages 636--645, Springer-Verlag, 2008 | , and ,
Learning to Recognize Missing E-mail Attachments (2010), in: Applied Artificial Intelligence, 24:5(443-462) | and ,
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Learning To Recognize Missing E-mail Attachments, Knowledge Engineering Group, TU Darmstadt, number TUD-KE-2009-05, 2009 | and ,
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Re-training Deep Neural Networks to Facilitate Boolean Concept Extraction, in: Proceedings of the 20th International Conference on Discovery Science (DS-17), pages 127--143, Springer-Verlag, 2017 | , and ,
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Interactive Data Analytics for the Humanities, in: Proceedings of the 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing-17), pages 527--549, Springer-Verlag, 2018 | , , , , , and ,
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What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation, in: Proceedings of the 26th International Conference on Computational Linguistics (COLING-16), pages 3199--3208, ACL, 2016 | , and ,
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Editorial: Preference Learning and Ranking (2013), in: Machine Learning, 93:2-3(185--189) | and ,
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Special Issue on Preference Learning and Ranking (2013), in: Machine Learning, 93:2-3 |
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On Predictive Accuracy and Risk Minimization in Pairwise Label Ranking (2010), in: Journal of Computer and System Sciences, 76:1(49--62) | and ,
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On Minimizing the Position Error in Label Ranking, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-04, 2007 | and ,
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Learning Label Preferences: Ranking Error versus Position Error, in: Advances in Intelligent Data Analysis: Proceedings of the 6th International Symposium (IDA-05), pages 180--191, Springer-Verlag, 2005 | and ,
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Comparison of Ranking Procedures in Pairwise Preference Learning, in: Proceedings of the 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-04), 2004 | and ,
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Ranking by Pairwise Comparison: A Note on Risk Minimization, in: Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE-04), 2004 | and ,
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Preference Learning: Models, Methods, Applications -- Proceedings of the KI-2003 Workshop, Austrian Research Institute for Artificial Intelligence, 2003 |
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On Position Error and Label Ranking through Iterated Choice, in: {LWA 2005, Lernen Wissensentdeckung Adaptivität}, pages 158--163, German Research Center for Artificial Intelligence (DFKI), 2005 | , and ,
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Label Ranking by Learning Pairwise Preferences (2008), in: Artificial Intelligence, 172:16–17(1897--1916) | , , and ,
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Learning from Label Preferences, in: Proceedings of the 14th International Conference on Discovery Science (DS-11), pages 2--17, Springer, 2011 | and ,
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Learning from Label Preferences, in: Proceedings of the 22nd International Conference on Algorithmic Learning Theory (ALT-11), pages 38, Springer, 2011 | and ,
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On Minimizing the Position Error in Label Ranking, in: Proceedings of 18th European Conference on Machine Learning (ECML-07), pages 583--590, Springer-Verlag, 2007 | and ,
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Learning Preference Models from Data: On the Problem of Label Ranking and Its Variants, in: Preferences and Similarities, pages 283--304, Springer-Verlag, 2008 | and ,
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On the Quest for Optimal Rule Learning Heuristics (2010), in: Machine Learning, 78:3(343--379) | and ,
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Separate-and-conquer Regression, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-01, 2010 | and ,
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The SeCo-framework for rule learning, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-02, 2010 | and ,
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An Empirical Quest for Optimal Rule Learning Heuristics, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-01, 2008 | and ,
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A Re-Evaluation of the Over-Searching Phenomenon in Inductive Rule Learning, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-02, 2008 | and ,
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Meta-Learning Rule Learning Heuristics, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-02, 2007 | and ,
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On Meta-Learning Rule Learning Heuristics, in: Proceedings of the 7th IEEE International Conference on Data Mining (ICDM-07), pages 529--534, 2007 | and ,
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Meta-Learning Rule Learning Heuristics, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2007, pages 167--174, 2007 | and ,
On Trading Off Consistency and Coverage in Inductive Rule Learning, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2006, pages 306--313, Gesellschaft für Informatik e. V. (GI), 2006 | and ,
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A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2008, pages 42-50, 2008 | and ,
Separate-and-conquer Regression, in: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2010, Kassel, Germany, pages 81--89, 2010 | and ,
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An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics, in: Proceedings of the 11th International Conference on Discovery Science (DS-08), pages 40--51, Springer-Verlag, 2008 | and ,
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Meta-Learning Rule Learning Heuristics, in: Proceedings of ECML-PKDD-07 Workshop on Planning to Learn (PlanLearn-07), pages 9-21, 2007 | and ,
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A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning, in: Proceedings of the SIAM International Conference on Data Mining (SDM-09), pages 329--340, 2009 | and ,
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Heuristic Rule-Based Regression via Dynamic Reduction to Classification, in: Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI-11), Barcelona, Spain, pages 1330--1335, 2011 | and ,
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