Dozent: Ralf Möller
Ort: TUHH, Harburger Schloßstraße 20, Raum 206
Zeit: Mittwoch 14.00-16.00 Uhr
Dieses Seminar ist u.a. geeignet für Studierende, die einen Schein für den Seminartyp Fallstudie benötigen.
Materialien zur Vorbereitung der Vorträge werden bereitgestellt. Die Studierenden erstellen zu jedem Vortrag bis zum Ende des Semesters eine Ausarbeitung.
Inhalt
| Termin | Themen | Name |
| 25.10.06 | Introduction | |
| 1.11.06 | ||
| 8.11.06 | Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts |
Louise-Marie Kuidjaa |
| 15.11.06 | How to Upgrade Propositional Learners to First Order Logic: A Case Study |
Qing Song Miao |
| 22.11.06 | Genetic Algorithms in Machine Learning | Danielle Dandji |
| 29.11.06 | A Polynomial Approach to the Constructive Induction of Structural Knowledge | Silviya Byankova |
| 6.12.06 | Learning with Feature Description Logics | David Demo |
| 13.12.06 | Learnability of Description Logic Programs | Andrej Michailov |
| 10.1.07 | Ontology Learning and Reasoning - Dealing with Uncertainty and Inconsistency | Igor Zlatkevich |
| 17.1.06 | Translating Images to Words for Recognizing Objects in Large Image and Video Collections | Adrian Lambeck |
| 24.1.07 | VEIL: Research in Knowledge Representation for Computer Vision | Anton Prawiro |
| 31.1.07 | Perception as Abduction: Turning Sensor Data Into Meaningful Representation | Alexander Gabriel |
| 7.2.07 | Constraint-based Modeling and Ambiguity | Shenmo Zhao |
Ralf Möller