Publications List
Topic: JF
Publications for topic "JF" sorted by title
A
| , A Brief Introduction to Knowledge Discovery in Databases (1995), in: ÖGAI--Journal, 14:4(14--17) |
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| and , 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 |
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| , and , 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 |
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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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| , 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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| and , A Comparison of Strategies for Handling Missing Values in Rule Learning, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2009-03, 2009 |
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| and , A Comparison of Techniques for Selecting and Combining Class Association Rules, in: From Local Patterns to Global Models: Proceedings of the ECML/PKDD-08 Workshop (LeGo-08), pages 154--168, 2008 |
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| and , A Comparison of Techniques for Selecting and Combining Class Association Rules, in: Proceedings of the LWA 2008: Lernen -- Wissen -- Adaption, pages "", 2008 |
| and , A Hypothesis on the Divergence of AI Research (1998), in: International Computer Chess Association Journal, 21:1(3--13) |
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| and , A Moderately Successful Attempt to Train Chess Evaluation Functions of Different Strengths, TU Darmstadt, number TUD-KE-2010-07, 2010 |
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| and , A Moderately Successful Attempt to Train Chess Evaluation Functions of Different Strengths, in: Proceedings of the ICML-10 Workshop on Machine Learning and Games, 2010 |
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| , A Numerical Analysis of the KRK Domain, Working Note, 1993 |
| , 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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| , 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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| and , A Policy Iteration Algorithm for Learning from Preference-based Feedback, in: Advances in Intelligent Data Analysis XII: 12th International Symposium (IDA-13), pages 427--437, Springer-Verlag, 2013 |
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| and , A Re-Evaluation of the Over-Searching Phenomenon in Inductive Rule Learning, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-02, 2008 |
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| and , 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 , 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 |
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| and , A Review and Comparison of Strategies for Handling Missing Values in Separate-and-Conquer Rule Learning (2011), in: Journal of Intelligent Information Systems, 36:1(73--98) |
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| and , A Study of Probability Estimation Techniques for Rule Learning, in: From Local Patterns to Global Models: Proceedings of the ECML/PKDD-09 Workshop (LeGo-09), pages 123--138, 2009 |
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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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| , , and , A Survey of Preference-Based Reinforcement Learning Methods (2017), in: Journal of Machine Learning Research, 18:136(1--46) |
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| , A Tight Integration of Pruning and Learning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-95-03, 1995 |
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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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| , and , A Unified Model for Multilabel Classification and Ranking, in: Proceedings of the 17th European Conference on Artificial Intelligence (ECAI-06), pages 489--493, 2006 |
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| , and , Advances in Efficient Pairwise Multilabel Classification, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-06, 2008 |
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| , and , All-in Text: Learning Document, Label, and Word Representations Jointly, in: Proceedings of the 30th AAAI Conference on Artificial Intelligence, Phoenix, Arizona, pages 1948--1954, AAAI Press, 2016 |
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| and , An Analysis of Rule Evaluation Metrics, in: Proceedings of the 20th International Conference on Machine Learning (ICML-03), pages 202--209, AAAI Press, 2003 |
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| and , An Analysis of Rule Learning Heuristics, Department of Computer Science, University of Bristol, number CSTR-03-002, 2003 |
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| and , 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 |
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| and , An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules, in: Proceedings of the 12th International Conference on Discovery Science (DS-09), Porto, Portugal, pages 317--331, Springer-Verlag, 2009 |
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| and , An Empirical Comparison of Techniques for Selecting and Combining Local Patterns into a Global Model, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-03, 2008 |
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| and , 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 |
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| and , An Empirical Quest for Optimal Rule Learning Heuristics, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-01, 2008 |
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| and , An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain, in: Proceedings of the LWA 2007: Lernen - Wissen - Adaption, pages 126--132, 2007 |
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| and , An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain, in: Proceedings of the LREC 2008 Workshop on Semantic Processing of Legal Texts, pages 23-32, 2008 |
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| and , An Evaluation of Grading Classifiers, in: Advances in Intelligent Data Analysis: Proceedings of the 4th International Conference (IDA-01), pages 115--124, Springer-Verlag, 2001 |
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| and , An Evaluation of Landmarking Variants, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-13, 2001 |
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| and , 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 |
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| , , and , An Exploitative Monte-Carlo Poker Agent, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2009-02, 2009 |
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| , , and , 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 |
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| , , and , 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 |
| , 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 |
| , 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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B
| and , Basic Instrument for Experimental Probes in Machine Learning, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2012–01, 2012 |
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| and , Batchwise Patching of Classifiers, in: Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), pages 3374--3381, 2018 |
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| , Bericht über IJCAI-97 und AAAI-97 (1997), in: ÖGAI--Journal, 16:3(30--33) |
| and , Bericht über ILP-98, ICML-98 und AAAI-98 (1998), in: ÖGAI--Journal, 17:3(2--9) |
| , Bericht über The 11th International Conference on Machine Learning (ML-94) (1994), in: ÖGAI--Journal, 13:2(3--4) |
| , Bericht über The 13th International Conference on Artificial Intelligence (IJCAI-93) (1993), in: ÖGAI--Journal, 12:1--2(10--12) |
| , and , Beta Distribution Drift Detection for Adaptive Classifiers, in: Proceedings of the 2019 European Symposium on Artificial Neural Networks -- ESANN'19, 2019 |
| , and , Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization, in: Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, Berlin, Germany, pages 84-94, Association for Computational Linguistics, 2016 |
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| , Bibliography on Machine Learning in Strategic Game Playing, \url{/~juffi/lig/}, 1995--2000 |
| , and , 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 |
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C
| and , Case-Based Label Ranking, in: Proceedings of the 17th European Conference on Machine Learning (ECML-06), pages 566--573, Springer-Verlag, 2006 |
| and , Combining Pairwise Classifiers with Stacking, in: Advances in Intelligent Data Analysis: Proceedings of the 5th International Symposium (IDA-03), pages 219--229, Springer-Verlag, 2003 |
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| , , and , Comparing Boosting and Bagging for Decision Trees of Rankings (2021), in: Journal of Classification |
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| and , 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 |
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D
| , 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 |
| , Decision Tree, in: Encyclopedia of Machine Learning, pages 263--267, Springer-Verlag, 2010 |
| , , and , Detecting Temporal Change in Event Sequences: An Application to Demographic Data, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-09, 2001 |
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| , , and , 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 |
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| , , and , Determining Factors for Slum Growth with Predictive Data Mining Methods (2018), in: Urban Science, 2:3(81:1--81:19) |
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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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| , and , Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases, in: Proceedings of the 12th European Conference on Artificial Intelligence (ECAI-96), pages 453--457, John Wiley \& Sons, 1996 |
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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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| , 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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| and , Driver Information Embedding with Siamese LSTM networks, in: 2019 IEEE Intelligent Vehicles Symposium (IV), Paris, France, IEEE, 2019 |
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E
| and , Editorial: Preference Learning and Ranking (2013), in: Machine Learning, 93:2-3(185--189) |
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| and , Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2009-01, 2009 |
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| and , 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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| and , Efficient Implementation of Class-Based Decomposition Schemes for Naive Bayes (2014), in: Machine Learning, 96:3(295--309) |
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| and , Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain, in: Semantic Processing of Legal Texts -- Where the Language of Law Meets the Law of Language, pages 192-215, Springer-Verlag, 2010 |
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| and , Efficient Pairwise Classification, in: Proceedings of the 18th European Conference on Machine Learning (ECML 2007, Warsaw, Poland), pages 658--665, Springer-Verlag, 2007 |
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| and , Efficient Pairwise Classification and Ranking, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-03, 2007 |
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| and , Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Disocvery in Databases (ECML-PKDD-2008), Part II, pages 50--65, Springer, 2008 |
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| and , Efficient prediction algorithms for binary decomposition techniques (2012), in: Data Mining and Knowledge Discovery, 24:1(40-77) |
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| , Efficient Pruning Methods for Relational Learning, Vienna University of Technology, 1994 |
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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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| , and , 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 |
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| , and , 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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| , and , Efficient Voting Prediction for Pairwise Multilabel Classification (2010), in: Neurocomputing, 73:7-9(1164 - 1176) |
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| and , EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning, in: Proceedings of the 5th Asian Conference on Machine Learning, (ACML-13), pages 483--497, JMLR.org, 2013 |
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| and , 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 |
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| , and , Evaluation of Different Heuristics for Accommodating Asymmetric Loss Functions in Regression, in: Proceedings of the 20th International Conference on Discovery Science (DS-17), Kyoto, Japan, Springer-Verlag, 2017 |
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| , and , Evaluation of different Regression Learners under Asymmetric Loss for Predictive Maintenance, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2015–02, 2015 |
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| , , and , Event-Based Clustering for Reducing Labeling Costs of Event-Related Microposts, in: Proceedings of the 9th International AAAI Conference on Web and Social Media (ICWSM-15), Oxford, UK, pages 686--690, AAAI Press, 2015 |
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| , , and , Event-Based Clustering for Reducing Labeling Costs of Incident-Related Microposts, in: Proceedings of the ICML-15 2nd International Workshop on Mining Urban Data (MUD-15), Lille, France, pages 44--52, CEUR workshop proceedings, 2015 |
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| , Explanation-Based Learning in der Domäne Schach, Unpublished Manuscript, 1990 |
| , and , Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms, in: Advances in Machine Learning I --- Dedicated to the Memory of Professor Ryszard S. Michalski, pages 121--146, Springer-Verlag, 2010 |
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| , and , Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules, in: PAKDD 2018: Advances in Knowledge Discovery and Data Mining, pages 29--42, Springer International Publishing, 2018 |
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| , and , Exploiting Code Redundancies in ECOC, in: Proceedings of the 13th International Conference on Discovery Science (DS-10), pages 266--280, Springer, 2010 |
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| , and , Exploiting Code-Redundancies in ECOC for Reducing its Training Complexity using Incremental and SVM Learners, TU Darmstadt, number TUD-KE-2010-06, 2010 |
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| and , 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 |
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| 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 |
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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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| and , First Steps Towards Learning from Game Annotations, in: Proceedings of the {ECAI} Workshop on Preference Learning: Problems and Applications in AI, Montpellier, pages 53-58, 2012 |
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| , and , Foundations of Rule Learning, Springer-Verlag, 2012 |
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| , , and , From Local Patterns to Global Models: The LeGo Approach to Data Mining, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-06, 2007 |
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| , , and , From Local Patterns to Global Models: The LeGo Approach to Data Mining, in: From Local Patterns to Global Models: Proceedings of the ECML/PKDD-08 Workshop (LeGo-08), pages 1--16, 2008 |
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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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| , and , Graded Multilabel Classification by Pairwise Comparisons, in: 2014 IEEE International Conference on Data Mining (ICDM 2014), pages 731--736, Curran Associates, IEEE, 2014 |
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| , , and , Gradient-Based Label Binning in Multi-Label Classification, in: Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), Springer, 2021 |
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| and , Grading Classifiers, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-01, 2001 |
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| and , Guest Editorial: First-Order Knowledge Discovery in Databases (1998), in: Applied Artificial Intelligence, 12:5(345--361) |
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| and , Guest Editorial: Global Modeling using Local Patterns (2010), in: Data Mining and Knowledge Discovery, 21:1(1--8) |
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| , , and , Guest Editorial: Machine Learning and Games (2006), in: Machine Learning, 63:3(211--215) |
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H
| , and , 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 , 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 |
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| , Hyperlink Ensembles: A Case Study in Hypertext Classification, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-2001-30, 2001 |
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| , Hyperlink Ensembles: A Case Study in Hypertext Classification (2002), in: Information Fusion, 3:4(299--312) |
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| and , Incremental Reduced Error Pruning, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-94-09, 1994 |
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| and , Incremental Reduced Error Pruning, in: Proceedings of the 11th International Conference on Machine Learning (ML-94), pages 70--77, Morgan Kaufmann, 1994 |
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| , Inductive Logic Programming (A Short Introduction and a Thesis Abstract) (1994), in: ÖGAI--Journal, 13:3--4(3--8) |
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| , Inductive Rule Learning for Data and Web Mining, Habilitationsschrift, Technisch-Naturwissenschaftliche Fakult{\"a}t, Technische Universi{\"a}t Wien, 2001 |
| , Induktives Lernen durch Generieren von Decision Trees, Vienna University of Technology, 1991 |
| , , , and , Informed Hybrid Game Tree Search, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2016–01, 2016 |
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| , , , and , Informed Hybrid Game Tree Search (2018), in: IEEE Transactions on Games, 10:1(78--90) |
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| , Integrative Windowing (1998), in: Journal of Artificial Intelligence Research, 8(129--164) |
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| , , , , , and , 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 |
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K
| KI 2017: Advances in Artificial Intelligence, Springer-Verlag, 2017 |
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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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| Knowledge Discovery in Databases: PKDD 2006, Springer-Verlag, 2006 |
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| , and , Knowledge Discovery in International Conflict Databases, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-96-24, 1996 |
| , and , Knowledge Discovery in International Conflict Databases (1997), in: Applied Artificial Intelligence, 11:2(91--118) |
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| , , , , , , , , , , , and , Knowledge Discovery in Scientific Literature, in: Proceedings of the 12th Edition of the Konvens Conference, pages 66--76, Universitätsbibliothek Hildesheim, 2014 |
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| , and , Label Ranking by Learning Pairwise Preferences, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-01, 2007 |
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| , , and , Label Ranking by Learning Pairwise Preferences (2008), in: Artificial Intelligence, 172:16–17(1897--1916) |
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| , , , and , Large-Scale Multi-label Text Classification - Revisiting Neural Networks, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-14), Part 2, pages 437--452, Springer Berlin Heidelberg, 2014 |
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| , and , 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 |
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| , , , , and , Learning Context-dependent Label Permutations for Multi-label Classification, in: Proceedings of the 36th International Conference on Machine Learning (ICML-19), pages 4733--4742, {PMLR}, 2019 |
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| and , Learning from Label Preferences, in: Proceedings of the 14th International Conference on Discovery Science (DS-11), pages 2--17, Springer, 2011 |
[DOI] |
| and , Learning from Label Preferences, in: Proceedings of the 22nd International Conference on Algorithmic Learning Theory (ALT-11), pages 38, Springer, 2011 |
[DOI] |
| and , Learning from Trajectory-Based Action Preferences, in: Proceedings of the ICRA 2013 Workshop on Autonomous Learning, Karslruhe, 2013 |
[URL] |
| , , , and , Learning Gradient Boosted Multi-label Classification Rules, in: Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), pages 124--140, Springer, 2020 |
[DOI] [URL] |
| , , and , Learning Interpretable Rules for Multi-label Classification, in: Explainable and Interpretable Models in Computer Vision and Machine Learning, pages 81--113, Springer-Verlag, 2018 |
[DOI] [URL] |
| and , 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 |
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| and , Learning of Piece Values for Chess Variants, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-07, 2008 |
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| and , Learning Playing Strategies from Chess Endgame Databases: An ILP Approach, Unpublished, Leuven, 1997 |
| and , Learning Preference Models from Data: On the Problem of Label Ranking and Its Variants, in: Preferences and Similarities, pages 283--304, Springer-Verlag, 2008 |
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| , , and , Learning Structured Declarative Rule Sets — A Challenge for Deep Discrete Learning, in: 2nd Workshop on Deep Continuous-Discrete Machine Learning (DeCoDeML), 2020 |
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| and , Learning the Piece Values for Three Chess Variants (2008), in: International Computer Games Association Journal, 31:4(209--233) |
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| , , and , Learning to Make Good Use of Operational Advice, in: Proceedings of the ICML-99 Workshop on Machine Learning in Game Playing, 1999 |
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| and , Learning To Recognize Missing E-mail Attachments, Knowledge Engineering Group, TU Darmstadt, number TUD-KE-2009-05, 2009 |
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| and , Learning to Recognize Missing E-mail Attachments (2010), in: Applied Artificial Intelligence, 24:5(443-462) |
[DOI] |
| , , and , Learning to Use Operational Advice, in: Proceedings of the 14th European Conference on Artificial Intelligence (ECAI-00), pages 291--295, IOS Press, 2000 |
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| , and , Leveraging Reproduction-Error Representations for Multi-Instance Classification, in: Proceedings of the 21st International Conference on Discovery Science - DS'18, Limassol, Cyprus, pages 83-95, Springer Nature Switzerland AG, 2018 |
[DOI] |
| and , Link-local Features for Hypertext Classification, in: Proceedings of the European Web Mining Forum (EWMF-05): Workshop at ECML/PKDD-05, pages 40--51, 2005 |
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| and , Link-local Features for Hypertext Classification, in: Semantics, Web and Mining, pages 51--64, Springer-Verlag, 2006 |
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| LWA 2005, Lernen Wissensentdeckung Adaptivität, German Research Center for Artificial Intelligence (DFKI), 2005 |
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| , , and , Machine Learning and Case-based Reasoning: Their Potential Role in Preventing the Outbreak of Wars or in Ending Them, Austrian Research Institute for Artificial Intelligence, number OEFAI-TR-97-10, 1997 |
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| , , and , Machine Learning and Case-based Reasoning: Their Potential Role in Preventing the Outbreak of Wars or in Ending Them, in: Learning, Networks and Statistics: Proceedings of the ISSEK-96 Workshop, pages 209--225, Springer-Verlag, 1997 |
[URL] |
| , Machine Learning and Game Playing, in: Encyclopedia of Machine Learning, pages 633--637, Springer-Verlag, 2010 |
| , 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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| , Machine Learning in Games: A Survey, in: Machines that Learn to Play Games, pages 11--59, Nova Science Publishers, 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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| , , 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 |
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| Machine Learning: ECML 2006, Springer-Verlag, 2006 |
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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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| and , Margin Driven Separate and Conquer by Assymmetric Loss Functions, TU Darmstadt, Knowledge Engineering Group, number TUD–KE–2011–01, 2011 |
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| and , Margin Driven Separate and Conquer by Working Set Expansion, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2009-06, 2009 |
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| , , and , Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification, in: Advances in Neural Information Processing Systems 30 (NIPS-17), pages 5419--5429, 2017 |
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| , and , Mending is Better than Ending: Adapting Immutable Classifiers to Nonstationary Environments using Ensembles of Patches, in: Proceedings of the 2019 International Joint Conference on Neural Networks -- IJCNN'19, 2019 |
| and , Meta-Learning Rule Learning Heuristics, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-02, 2007 |
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