FGML Workshop 2002: Proceedings

  • Mark.-A. Krogel, Stefan Wrobel - Propositionalization and Redundancy Treatment;
  • Willi Klösgen, Michael May - Spatial Subgroup Mining Integrated in an Object-Relational Spatial Database
  • Martin Lauer, Martin Riedmiller - Generalisation in Reinforcement Learning and the Use of Observation-Based Learning
  • Gabriella Kokai, Benjamin Landorff - Ausarbeitung und Implementierung von Methoden, um den Overfittung-Effekt im GeLog-System zu vermeiden
  • Tamas Horvath, Stefan Wrobel - Towards Discovery of Deep and Wide First-Order Structures: A Case Study in the Domain of Mutagenicity
  • Sven F. Crone - Training Artificial Neural Networks for Time Series Prediction using Asymmetric Cost Functions (nur Abstract)
  • Mark-A. Krogel, Marcus Denecke, Marco Landwehr, Tobias Scheffer - Using Data und Text Mining Techniques for Yeast Gene Regulation Prediction: A Case Study [...in progress]
  • Ralf Klinkenberg, Oliver Ritthoff, Katharina Morik - Novel Learning Tasks From Practical Applications
  • Michael Wurst, Jasminko Novak, Martin Schneider - Integration Different Machine Learning Methods to Support Search in Cross-domain Information Sources - the Project AWAKE
  • Martin Heydemann - Ein intelligentes lernfähiges System zur Informationssuche (ILSI)
  • Susanne Hoche und Stefan Wrobel - Scaling Boosting by Margin-Based Inclusion of Features and Relations
  • Lourdes Pena, Stefan Wrobel - Multirelational Active Learning for Games
  • Szilvia Zvada - LAG System: Attribute Grammar Specification via Inductive Learning
  • Steffen Lange, Jochen Nessel, Sandra Zilles - Learning languages with queries
  • Stefan Rüping - Efficient Kernel Calculation for Multirelational Data
  • Ute Schmid, Emanuel Kitzelmann, Fritz Wysotzki - Inductive Program Synthesis: From Theory to Application
  • Oliver Sander, Ingrid Fischer, Harald Kirsch - Extracting Collocations from Syntactically Annotated Corpora (ML) [...in progress]
  • Gunter Grieser, Klaus P. Jantke, Steffen Lange - Conceptualization to Develop Machine Learning Techniques for Information Extraction: Consistency Queries (ML) [...in progress]
  • Jörg Rech, Björn Decker, Klaus-Dieter Althoff, Andreas Klotz, Edda Leopold, Angie Voss VIDEO FGML - Thoughts on Text Mining in Organizational Process Learning (ML)
  • Andreas Hotho, Gerd Stumme - Conceptual Clustering of Text Clusters