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Note: Links lead to the DBLP on the Web. Stefan Wrobel 33 Lourdes Peña Castillo , Stefan Wrobel: On the Stability of Example-Driven Learning Systems: A Case Study in Multirelational Learning. MICAI 2002 : 321-330 32 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 31 Stefan Wrobel: Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery. ECML 2001 : 615 30 Tobias Scheffer , Christian Decomain , Stefan Wrobel: Mining the Web with Active Hidden Markov Models. ICDM 2001 : 645-646 29 Tobias Scheffer , Christian Decomain , Stefan Wrobel: Active Hidden Markov Models for Information Extraction. IDA 2001 : 309-318 28 Mark-A. Krogel , Stefan Wrobel: Transformation-Based Learning Using Multirelational Aggregation. ILP 2001 : 142-155 27 Susanne Hoche , Stefan Wrobel: Relational Learning Using Constrained Confidence-Rated Boosting. ILP 2001 : 51-64 26 Stefan Wrobel: Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery. PKDD 2001 : 507 25 Tamás Horváth , Stefan Wrobel, Uta Bohnebeck : Relational Instance-Based Learning with Lists and Terms. Machine Learning 43 (1/2): 53-80 (2001) 24 Mathias Kirsten , Stefan Wrobel: Extending K-Means Clustering to First-Order Representations. ILP 2000 : 112-129 23 Tobias Scheffer , Stefan Wrobel: A sequential sampling algorithm for a general class of utility criteria. KDD 2000 : 330-334 22 Tamás Horváth , Zoltán Alexin , Tibor Gyimothy , Stefan Wrobel: Application of Different Learning Methods to Hungarian Part-of-Speech Tagging. ILP 1999 : 128-139 21 Stefan Wrobel: Scalability Issues in Inductive Logic Programming. ALT 1998 : 11-30 20 Mathias Kirsten , Stefan Wrobel: Relational Distance-Based Clustering. ILP 1998 : 261-270 19 Uta Bohnebeck , Tamás Horváth , Stefan Wrobel: Term Comparisons in First-Order Similarity Measures. ILP 1998 : 65-79 18 Stefan Wrobel: Data Mining Serviceteil. KI 12 (1): 58-59 (1998) 17 Stefan Wrobel: Data Mining und Wissensentdeckung in Datenbanken. KI 12 (1): 6-10 (1998) 16 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) 15 Stefan Wrobel: An Algorithm for Multi-relational Discovery of Subgroups. PKDD 1997 : 78-87 14 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 13 Stefan Wrobel: Data Mining - Das aktuelle Schlagwort. KI 11 (1): 22 (1997) 12 Stefan Wrobel, Dietrich Wettschereck , Edgar Sommer , Werner Emde : Extensibility in Data Mining Systems. KDD 1996 : 214-219 11 Nada Lavrac , Stefan Wrobel: Induktive Logikprogrammierung - Grundlagen und Techniken. KI 10 (3): 46-54 (1996) 10 Nada Lavrac , Stefan Wrobel: Machine Learning: ECML-95, 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25-27, 1995, Proceedings. Springer 1995 9 Stefan Wrobel: Concept Formation During Interactive Theory Revision. Machine Learning 14 (1): 169-191 (1994) 8 Stefan Wrobel: On the Proper Definition of Minimality in Specialization and Theory Revision. ECML 1993 : 65-82 7 Francesco Bergadano , Floriana Esposito , Céline Rouveirol , Stefan Wrobel: Panel: Evaluating and Changing Representation in Concept Acquisition. EWSL 1991 : 89-100 6 Stefan Wrobel: Towards a Model of Grounded Concept Formation. IJCAI 1991 : 712-719 5 Stefan Wrobel: Die Umweltverankerung von Begriffsbildungsprozessen. KI 5 (1): 22-26 (1991) 4 Stefan Wrobel: Automatic Representation Adjustment in an Observational Discovery System. EWSL 1988 : 253-262 3 Stefan Wrobel: Design Goals for Sloppy Modeling Systems. International Journal of Man-Machine Studies 29 (4): 461-477 (1988) 2 Stefan Wrobel: Higher-order Concepts in a Tractable Knowledge Representation. GWAI 1987 : 129-138 1 Stefan Wrobel: Demand-Driven Concept Formation. Knowledge Representation and Organization in Machine Learning 1987 : 289-319  DiSC'02 © 2003 Association for Computing Machinery |
