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Note: Links lead to the DBLP on the Web. Stefan Wrobel Thomas Gärtner , Peter A. Flach , Stefan Wrobel: On Graph Kernels: Hardness Results and Efficient Alternatives. COLT 2003 : 129-143 Lourdes Peña Castillo , Stefan Wrobel: Learning Minesweeper with Multirelational Learning. IJCAI 2003 : 533-540 Susanne Hoche , Stefan Wrobel: A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting. ILP 2003 : 180-196 Mark-A. Krogel , Simon Rawles , Filip Zelezný , Peter A. Flach , Nada Lavrac , Stefan Wrobel: Comparative Evaluation of Approaches to Propositionalization. ILP 2003 : 197-214 Mark-A. Krogel , Stefan Wrobel: Feature Selection for Propositionalization. Discovery Science 2002 : 430-434 Susanne Hoche , Stefan Wrobel: Scaling Boosting by Margin-Based Inclusionof Features and Relations. ECML 2002 : 148-160 Lourdes Peña Castillo , Stefan Wrobel: Macro-Operators in Multirelational Learning: A Search-Space Reduction Technique. ECML 2002 : 357-368 Lourdes Peña Castillo , Stefan Wrobel: On the Stability of Example-Driven Learning Systems: A Case Study in Multirelational Learning. MICAI 2002 : 321-330 Tobias Scheffer , Stefan Wrobel: A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases. PKDD 2002 : 397-409 Tobias Scheffer , Stefan Wrobel: Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling. Journal of Machine Learning Research 3 : 833-862 (2002) Tobias Scheffer , Stefan Wrobel, Borislav Popov , Damyan Ognianov , Christian Decomain , Susanne Hoche : Lerning Hidden Markov Models for Information Extraction Actively from Partially Labeled Text. KI 16 (2): 17-22 (2002) Tamás Horváth , Stefan Wrobel: Towards Discovery of Deep and Wide First-Order Structures: A Case Study in the Domain of Mutagenicity. Discovery Science 2001 : 100-112 Stefan Wrobel: Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery. ECML 2001 : 615 Tobias Scheffer , Christian Decomain , Stefan Wrobel: Mining the Web with Active Hidden Markov Models. ICDM 2001 : 645-646 Tobias Scheffer , Stefan Wrobel: Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems. ICML 2001 : 481-488 Tobias Scheffer , Christian Decomain , Stefan Wrobel: Active Hidden Markov Models for Information Extraction. IDA 2001 : 309-318 Mark-A. Krogel , Stefan Wrobel: Transformation-Based Learning Using Multirelational Aggregation. ILP 2001 : 142-155 Susanne Hoche , Stefan Wrobel: Relational Learning Using Constrained Confidence-Rated Boosting. ILP 2001 : 51-64 Stefan Wrobel: Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery. PKDD 2001 : 507 Tamás Horváth , Stefan Wrobel, Uta Bohnebeck : Relational Instance-Based Learning with Lists and Terms. Machine Learning 43 (1/2): 53-80 (2001) Mathias Kirsten , Stefan Wrobel: Extending K-Means Clustering to First-Order Representations. ILP 2000 : 112-129 Tobias Scheffer , Stefan Wrobel: A sequential sampling algorithm for a general class of utility criteria. KDD 2000 : 330-334 Tamás Horváth , Zoltán Alexin , Tibor Gyimothy , Stefan Wrobel: Application of Different Learning Methods to Hungarian Part-of-Speech Tagging. ILP 1999 : 128-139 Stefan Wrobel: Scalability Issues in Inductive Logic Programming. ALT 1998 : 11-30 Mathias Kirsten , Stefan Wrobel: Relational Distance-Based Clustering. ILP 1998 : 261-270 Uta Bohnebeck , Tamás Horváth , Stefan Wrobel: Term Comparisons in First-Order Similarity Measures. ILP 1998 : 65-79 Stefan Wrobel: Data Mining Serviceteil. KI 12 (1): 58-59 (1998) Stefan Wrobel: Data Mining und Wissensentdeckung in Datenbanken. KI 12 (1): 6-10 (1998) Mathias Kirsten , Stefan Wrobel, F. Wilhelm Dahmen , Hans-Christoph Dahmen : Einsatz von Data Mining-Techniken zur Analyse ökologischer Standort- und Pflanzendaten. KI 12 (2): 39-42 (1998) Stefan Wrobel: An Algorithm for Multi-relational Discovery of Subgroups. PKDD 1997 : 78-87 Werner Emde , Jörg Rahmer , Angi Voß , Christian Beilken , Josef Börding , Wolfgang Orth , Ulrike Petersen , Jörg Walter Schaaf , Michael Spenke , Stefan Wrobel: Interactive Configuration in KIKon. XPS 1997 : 79-91 Stefan Wrobel: Data Mining - Das aktuelle Schlagwort. KI 11 (1): 22 (1997) Stefan Wrobel, Dietrich Wettschereck , Edgar Sommer , Werner Emde : Extensibility in Data Mining Systems. KDD 1996 : 214-219 Nada Lavrac , Stefan Wrobel: Induktive Logikprogrammierung - Grundlagen und Techniken. KI 10 (3): 46-54 (1996) Nada Lavrac , Stefan Wrobel: Machine Learning: ECML-95, 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25-27, 1995, Proceedings Springer 1995 Stefan Wrobel: Concept Formation During Interactive Theory Revision. Machine Learning 14 (1): 169-191 (1994) Stefan Wrobel: On the Proper Definition of Minimality in Specialization and Theory Revision. ECML 1993 : 65-82 Francesco Bergadano , Floriana Esposito , Céline Rouveirol , Stefan Wrobel: Panel: Evaluating and Changing Representation in Concept Acquisition. EWSL 1991 : 89-100 Stefan Wrobel: Towards a Model of Grounded Concept Formation. IJCAI 1991 : 712-719 Stefan Wrobel: Die Umweltverankerung von Begriffsbildungsprozessen. KI 5 (1): 22-26 (1991) Stefan Wrobel: Automatic Representation Adjustment in an Observational Discovery System. EWSL 1988 : 253-262 Stefan Wrobel: Design Goals for Sloppy Modeling Systems. International Journal of Man-Machine Studies 29 (4): 461-477 (1988) Stefan Wrobel: Higher-order Concepts in a Tractable Knowledge Representation. GWAI 1987 : 129-138 Stefan Wrobel: Demand-Driven Concept Formation. Knowledge Representation and Organization in Machine Learning 1987 : 289-319 1 [ 22 ] 2 [ 14 ] 3 [ 7 ] 4 [ 19 ] [ 25 ] 5 [ 14 ] 6 [ 37 ] [ 38 ] [ 43 ] 7 [ 16 ] 8 [ 16 ] 9 [ 29 ] [ 31 ] [ 34 ] 10 [ 12 ] [ 14 ] 11 [ 7 ] 12 [ 41 ] [ 44 ] 13 [ 44 ] 14 [ 22 ] 15 [ 27 ] [ 34 ] [ 39 ] [ 42 ] 16 [ 19 ] [ 22 ] [ 25 ] [ 33 ] 17 [ 16 ] [ 20 ] [ 24 ] 18 [ 28 ] [ 40 ] [ 41 ] 19 [ 10 ] [ 11 ] [ 41 ] 20 [ 34 ] 21 [ 14 ] 22 [ 14 ] 23 [ 34 ] 24 [ 14 ] 25 [ 41 ] 26 [ 7 ] 27 [ 14 ] 28 [ 23 ] [ 29 ] [ 30 ] [ 31 ] [ 34 ] [ 35 ] [ 36 ] 29 [ 12 ] 30 [ 14 ] 31 [ 14 ] 32 [ 12 ] 33 [ 41 ]  ©2004 Association for Computing Machinery |
