Fritz Wysotzki

Publication Activity (10 Years)

Years Active: 1981-2011
Publications (10 Years): 0

Publications

Peter Geibel, Fritz Wysotzki
Risk-Sensitive Reinforcement Learning Applied to Control under Constraints CoRR (2011)
Fritz Wysotzki, Peter Geibel
A New Information Measure Based on Example-Dependent Misclassification Costs and Its Application in Decision Tree Learning. Adv. Artif. Intell. 2009 (2009)
Peter Geibel, Fritz Wysotzki
Risk-Sensitive Reinforcement Learning Applied to Control under Constraints. J. Artif. Intell. Res. 24 (2005)
Christoph Schmoeger, Carsten Gips, Fritz Wysotzki
Spatial Inference with Constraints. LWA (2005)
Fritz Wysotzki
Development of Inductive Synthesis of Functional Programs. AAIP (2005)
Brijnesh J. Jain, Fritz Wysotzki
Solving inexact graph isomorphism problems using neural networks. Neurocomputing 63 (2005)
Brijnesh J. Jain, Peter Geibel, Fritz Wysotzki
SVM learning with the Schur-Hadamard inner product for graphs. Neurocomputing 64 (2005)
Brijnesh J. Jain, Fritz Wysotzki
Discrimination networks for maximum selection. Neural Networks 17 (1) (2004)
Carsten Gips, Fritz Wysotzki
Spatial Inference - Application of Machine Learning Algorithms. LWA (2004)
Brijnesh J. Jain, Fritz Wysotzki
Learning with Neural Networks in the Domain of Graphs. LWA (2004)
Peter Geibel, Brijnesh J. Jain, Fritz Wysotzki
SVM learning with the SH inner product. ESANN (2004)
Peter Geibel, Fritz Wysotzki
Learning Perceptrons and Piecewise Linear Classifiers Sensitive to Example Dependent Costs. Appl. Intell. 21 (1) (2004)
Brijnesh J. Jain, Fritz Wysotzki
Structural Perceptrons for Attributed Graphs. SSPR/SPR (2004)
Brijnesh J. Jain, Fritz Wysotzki
The maximum weighted clique problem and Hopfield networks. ESANN (2004)
Brijnesh J. Jain, Peter Geibel, Fritz Wysotzki
Combining Recurrent Neural Networks and Support Vector Machines for Structural Pattern Recognition. KI (2004)
Peter Geibel, Ulf Brefeld, Fritz Wysotzki
Perceptron and SVM learning with generalized cost models. Intell. Data Anal. 8 (5) (2004)
Brijnesh J. Jain, Fritz Wysotzki
Central Clustering of Attributed Graphs. Mach. Learn. 56 (1-3) (2004)
Stefan Bischoff, Fritz Wysotzki
Applied Connectionistic Methods to compare Segmented Images. Künstliche Intell. 18 (1) (2004)
Brijnesh J. Jain, Fritz Wysotzki
A k-Winner-Takes-All Classifier for Structured Data. KI (2003)
Ulf Brefeld, Peter Geibel, Fritz Wysotzki
Support Vector Machines with Example Dependent Costs. ECML (2003)
Stefan Bischoff, D. Reuss, Fritz Wysotzki
Applied Connectionistic Methods in Computer Vision to Compare Segmented Images. KI (2003)
Brijnesh J. Jain, Fritz Wysotzki
A Neural Graph Isomorphism Algorithm based on local Invariants. ESANN (2003)
Peter Geibel, Kristina Schädler, Fritz Wysotzki
Connectionist construction of prototypes from decision trees for graph classification. Intell. Data Anal. 7 (2) (2003)
Peter Geibel, Ulf Brefeld, Fritz Wysotzki
Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs. IDA (2003)
Brijnesh J. Jain, Fritz Wysotzki
A Novel Neural Network Approach to Solve Exact and Inexact Graph Isomorphism Problems. ICANN (2003)
Brijnesh J. Jain, Fritz Wysotzki
A Competitive Winner-Takes-All Architecture for Classification and Pattern Recognition of Structures. GbRPR (2003)
Brijnesh J. Jain, Fritz Wysotzki
Automorphism Partitioning with Neural Networks. Neural Process. Lett. 17 (2) (2003)
Carsten Gips, Fritz Wysotzki
Spatial Inference - Combining Learning and Constraint Solving. KI (2003)
Peter Geibel, Fritz Wysotzki
Perceptron Based Learning with Example Dependent and Noisy Costs. ICML (2003)
Brijnesh J. Jain, Fritz Wysotzki
An Associative Memory for the Automorphism Group of Structures. ESANN (2003)
Carsten Gips, Petra Hofstedt, Fritz Wysotzki
Spatial Inference - Learning vs. Constraint Solving. KI (2002)
Emanuel Kitzelmann, Ute Schmid, Martin Mühlpfordt, Fritz Wysotzki
Inductive Synthesis of Functional Programs. AISC (2002)
Peter Geibel, Kristina Schädler, Fritz Wysotzki
Learning of Class Descriptions from Class Discriminations: A Hybrid Approach for Relational Objects. KI (2002)
Brijnesh J. Jain, Fritz Wysotzki
Fast Winner-Takes-All Networks for the Maximum Clique Problem. KI (2002)
Ute Schmid, Marina Müller, Fritz Wysotzki
Integrating Function Application in State-Based Planning. KI (2002)
Brijnesh J. Jain, Fritz Wysotzki
On the short-term-memory of WTA nets. ESANN (2001)
Brijnesh J. Jain, Fritz Wysotzki
Efficient Pattern Discrimination with Inhibitory WTA Nets. ICANN (2001)
Ute Schmid, Fritz Wysotzki
Applying Inductive Program Synthesis to Macro Learning. AIPS (2000)
Peter Geibel, Fritz Wysotzki
Graphbasierte Lernverfahren für relationale Daten. Inform. Forsch. Entwickl. 15 (1) (2000)
Sylvia Wiebrock, Lars Wittenburg, Ute Schmid, Fritz Wysotzki
Inference and Visualization of Spatial Relations. Spatial Cognition (2000)
Kristina Schädler, Fritz Wysotzki
Comparing Structures Using a Hopfield-Style Neural Network. Appl. Intell. 11 (1) (1999)
Ute Schmid, Fritz Wysotzki
Induction of Recursive Program Schemes. ECML (1998)
Kristina Schädler, Fritz Wysotzki
Application of a neural net in classification and knowledge discovery. ESANN (1998)
Berry Claus, Klaus Eyferth, Carsten Gips, Robin Hörnig, Ute Schmid, Sylvia Wiebrock, Fritz Wysotzki
Reference Frames for Spatial Inference in Text Understanding. Spatial Cognition (1998)
Peter Geibel, Fritz Wysotzki
A Logical Framework for Graph Theoretical Decision Tree Learning. ILP (1997)
Kristina Schädler, Fritz Wysotzki
A Connectionist Approach to the Distance-Based Analysis of Relational Data. IDA (1997)
Kristina Schädler, Fritz Wysotzki
A Connectionist Approach to Structural Simiarity Determination as a Basis of Clustering, Classification and Feature Detection. PKDD (1997)
Tobias Scheffer, Ralf Herbrich, Fritz Wysotzki
Efficient Theta-Subsumption Based on Graph Algorithms. Inductive Logic Programming Workshop (1996)
Peter Geibel, Fritz Wysotzki
Relational Learning with Decision Trees. ECAI (1996)
Peter Geibel, Fritz Wysotzki
Learning Relational Concepts with Decision Trees. ICML (1996)
Marion Finke, Günter Hommel, Tobias Scheffer, Fritz Wysotzki
Aerial Robotics in Computer Science Education. Comput. Sci. Educ. 7 (2) (1996)
Wolfgang Müller, Fritz Wysotzki
Automatic Synthesis of Control Programs by Combination of Learning and Problem Solving Methods (Extended Abstract). ECML (1995)
Christel Wisotzki, Fritz Wysotzki
Prototype, Nearest Neighbor and Hybrid Algorithms for Time Series Classification (Extended Abstract). ECML (1995)
Wolfgang Müller, Fritz Wysotzki
Automatic construction of decision trees for classification. Ann. Oper. Res. 52 (4) (1994)
Barbara Schulmeister, Fritz Wysotzki
The Piecewise Linear Classifier DIPOL92. ECML (1994)
Fritz Wysotzki
Program Synthesis by Hierarchical Planning. AIMSA (1986)
Fritz Wysotzki
Representation and Induction of Infinite Concepts and Recursive Action Sequences. IJCAI (1983)
Fritz Wysotzki, Werner Kolbe, Joachim Selbig
Concept Learning by Structured Examples - An Algebraic Approach. IJCAI (1981)