- Learning Linear Classi ers Sensitive to Example Dependent and Noisy Costs
- Untersuchungen zum Graphmatching mit speziellen Neuronalen Netzen
- Theoretical Foundations of a Special Neural Net Approach for Graphmatching
- Self-Organizing Recognition and Classi cation of Relational Brijnesh J. Jain (bjj@cs.tu-berlin.de)
- Spatial Inference { Learning vs. Constraint Solving
- On the short-term-memory of WTA nets Brijnesh J. Jain, Fritz Wysotzki
- Synthesis of Recursive Programs from Finite Examples By Detection of MacroFunctions
- Integrating Function Application in State-Based , Marina Muller
- Folding of Finite Program Terms to Recursive Program Schemes
- Klassifizierungslernen mit Hilfe spezieller HopfieldNetze Kristina Schadler, Fritz Wysotzki
- Learning Spatial Relations in the Context of Mental Models
- Technische Universit at Berlin Forschungsberichte
- Learning of Class Descriptions from Class Discriminations: A Hybrid Approach for
- Perceptron Based Learning with Example Dependent and Noisy Costs
- Inference and Visualization of Spatial Relations Sylvia Wiebrock, Lars Wittenburg, Ute Schmid, and Fritz Wysotzki ?
- Inductive Synthesis of Functional Programs Emanuel Kitzelmann
- Folding of Finite Program Terms to Recursive Program Schemes
- Integrating Function Application in StateBased Ute Schmid 1 , Marina Muller 2 , and Fritz Wysotzki 3
- Begriffslernen f ur strukturierte Objekte Peter Geibel, Kristina Sch adler und Fritz Wysotzki
- Inductive Synthesis of Functional Programs Emanuel Kitzelmann 1 , Ute Schmid 2 , Martin Muhlpfordt 3 , and Fritz Wysotzki 1
- A Unifying Approach to Learning by Doing and Learning by Analogy Ute Schmid and Fritz Wysotzki
- Fast Winner-Takes-All Networks for the Maximum Clique Problem
