Fritz Wysotzki

According to our database, Fritz Wysotzki authored at least 57 papers between 1981 and 2009.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2009

A New Information Measure Based on Example-Dependent Misclassification Costs and Its Application in Decision Tree Learning.

Fritz Wysotzki, Peter Geibel

Adv. Artif. Intell., 2009

2005

Risk-Sensitive Reinforcement Learning Applied to Control under Constraints.

Peter Geibel, Fritz Wysotzki

J. Artif. Intell. Res., 2005

Solving inexact graph isomorphism problems using neural networks.

Brijnesh J. Jain, Fritz Wysotzki

Neurocomputing, 2005

SVM learning with the Schur-Hadamard inner product for graphs.

Brijnesh J. Jain, Peter Geibel, Fritz Wysotzki

Neurocomputing, 2005

Spatial Inference with Constraints.

Christoph Schmoeger, Carsten Gips, Fritz Wysotzki

Proceedings of the Lernen, 2005

Development of Inductive Synthesis of Functional Programs.

Fritz Wysotzki

Proceedings of the Workshop on Approaches and Applications of Inductive Programming, 2005

2004

Discrimination networks for maximum selection.

Brijnesh J. Jain, Fritz Wysotzki

Neural Networks, 2004

Central Clustering of Attributed Graphs.

Brijnesh J. Jain, Fritz Wysotzki

Mach. Learn., 2004

Applied Connectionistic Methods to compare Segmented Images.

Stefan Bischoff, Fritz Wysotzki

Künstliche Intell., 2004

Perceptron and SVM learning with generalized cost models.

Peter Geibel, Ulf Brefeld, Fritz Wysotzki

Intell. Data Anal., 2004

Learning Perceptrons and Piecewise Linear Classifiers Sensitive to Example Dependent Costs.

Peter Geibel, Fritz Wysotzki

Appl. Intell., 2004

Structural Perceptrons for Attributed Graphs.

Brijnesh J. Jain, Fritz Wysotzki

Proceedings of the Structural, 2004

Learning with Neural Networks in the Domain of Graphs.

Brijnesh J. Jain, Fritz Wysotzki

Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004

Spatial Inference - Application of Machine Learning Algorithms.

Carsten Gips, Fritz Wysotzki

Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004

Combining Recurrent Neural Networks and Support Vector Machines for Structural Pattern Recognition.

Brijnesh J. Jain, Peter Geibel, Fritz Wysotzki

Proceedings of the KI 2004: Advances in Artificial Intelligence, 2004

The maximum weighted clique problem and Hopfield networks.

Brijnesh J. Jain, Fritz Wysotzki

Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

SVM learning with the SH inner product.

Peter Geibel, Brijnesh J. Jain, Fritz Wysotzki

Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003

Automorphism Partitioning with Neural Networks.

Brijnesh J. Jain, Fritz Wysotzki

Neural Process. Lett., 2003

Connectionist construction of prototypes from decision trees for graph classification.

Peter Geibel, Kristina Schädler, Fritz Wysotzki

Intell. Data Anal., 2003

A k-Winner-Takes-All Classifier for Structured Data.

Brijnesh J. Jain, Fritz Wysotzki

Proceedings of the KI 2003: Advances in Artificial Intelligence, 2003

Spatial Inference - Combining Learning and Constraint Solving.

Carsten Gips, Fritz Wysotzki

Proceedings of the KI 2003: Advances in Artificial Intelligence, 2003

Applied Connectionistic Methods in Computer Vision to Compare Segmented Images.

Stefan Bischoff, D. Reuss, Fritz Wysotzki

Proceedings of the KI 2003: Advances in Artificial Intelligence, 2003

Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs.

Peter Geibel, Ulf Brefeld, Fritz Wysotzki

Proceedings of the Advances in Intelligent Data Analysis V, 2003

Perceptron Based Learning with Example Dependent and Noisy Costs.

Peter Geibel, Fritz Wysotzki

Proceedings of the Machine Learning, 2003

A Novel Neural Network Approach to Solve Exact and Inexact Graph Isomorphism Problems.

Brijnesh J. Jain, Fritz Wysotzki

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

A Competitive Winner-Takes-All Architecture for Classification and Pattern Recognition of Structures.

Brijnesh J. Jain, Fritz Wysotzki

Proceedings of the Graph Based Representations in Pattern Recognition, 2003

An Associative Memory for the Automorphism Group of Structures.

Brijnesh J. Jain, Fritz Wysotzki

Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

A Neural Graph Isomorphism Algorithm based on local Invariants.

Brijnesh J. Jain, Fritz Wysotzki

Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

Support Vector Machines with Example Dependent Costs.

Ulf Brefeld, Peter Geibel, Fritz Wysotzki

Proceedings of the Machine Learning: ECML 2003, 2003

2002

Integrating Function Application in State-Based Planning.

Ute Schmid, Marina Müller, Fritz Wysotzki

Proceedings of the KI 2002: Advances in Artificial Intelligence, 2002

Fast Winner-Takes-All Networks for the Maximum Clique Problem.

Brijnesh J. Jain, Fritz Wysotzki

Proceedings of the KI 2002: Advances in Artificial Intelligence, 2002

Spatial Inference - Learning vs. Constraint Solving.

Carsten Gips, Petra Hofstedt, Fritz Wysotzki

Proceedings of the KI 2002: Advances in Artificial Intelligence, 2002

Learning of Class Descriptions from Class Discriminations: A Hybrid Approach for Relational Objects.

Peter Geibel, Kristina Schädler, Fritz Wysotzki

Proceedings of the KI 2002: Advances in Artificial Intelligence, 2002

Inductive Synthesis of Functional Programs.

Emanuel Kitzelmann, Ute Schmid, Martin Mühlpfordt, Fritz Wysotzki

Proceedings of the Artificial Intelligence, 2002

2001

Efficient Pattern Discrimination with Inhibitory WTA Nets.

Brijnesh J. Jain, Fritz Wysotzki

Proceedings of the Artificial Neural Networks, 2001

On the short-term-memory of WTA nets.

Brijnesh J. Jain, Fritz Wysotzki

Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

2000

Graphbasierte Lernverfahren für relationale Daten.

Peter Geibel, Fritz Wysotzki

Inform. Forsch. Entwickl., 2000

Inference and Visualization of Spatial Relations.

Sylvia Wiebrock, Lars Wittenburg, Ute Schmid, Fritz Wysotzki

Proceedings of the Spatial Cognition II, 2000

Applying Inductive Program Synthesis to Macro Learning.

Ute Schmid, Fritz Wysotzki

Proceedings of the Fifth International Conference on Artificial Intelligence Planning Systems, 2000

1999

Comparing Structures Using a Hopfield-Style Neural Network.

Kristina Schädler, Fritz Wysotzki

Appl. Intell., 1999

1998

Reference Frames for Spatial Inference in Text Understanding.

Berry Claus, Klaus Eyferth, Carsten Gips, Robin Hörnig, Ute Schmid, Sylvia Wiebrock, Fritz Wysotzki

Proceedings of the Spatial Cognition, 1998

Application of a neural net in classification and knowledge discovery.

Kristina Schädler, Fritz Wysotzki

Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

Induction of Recursive Program Schemes.

Ute Schmid, Fritz Wysotzki

Proceedings of the Machine Learning: ECML-98, 1998

1997

A Connectionist Approach to Structural Simiarity Determination as a Basis of Clustering, Classification and Feature Detection.

Kristina Schädler, Fritz Wysotzki

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1997

A Logical Framework for Graph Theoretical Decision Tree Learning.

Peter Geibel, Fritz Wysotzki

Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997

A Connectionist Approach to the Distance-Based Analysis of Relational Data.

Kristina Schädler, Fritz Wysotzki

Proceedings of the Advances in Intelligent Data Analysis, 1997

1996

Aerial Robotics in Computer Science Education.

Marion Finke, Günter Hommel, Tobias Scheffer, Fritz Wysotzki

Comput. Sci. Educ., 1996

Efficient Theta-Subsumption Based on Graph Algorithms.

Tobias Scheffer, Ralf Herbrich, Fritz Wysotzki

Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996

Learning Relational Concepts with Decision Trees.

Peter Geibel, Fritz Wysotzki

Proceedings of the Machine Learning, 1996

Relational Learning with Decision Trees.

Peter Geibel, Fritz Wysotzki

Proceedings of the 12th European Conference on Artificial Intelligence, 1996

1995

Prototype, Nearest Neighbor and Hybrid Algorithms for Time Series Classification (Extended Abstract).

Christel Wisotzki, Fritz Wysotzki

Proceedings of the Machine Learning: ECML-95, 1995

Automatic Synthesis of Control Programs by Combination of Learning and Problem Solving Methods (Extended Abstract).

Wolfgang Müller, Fritz Wysotzki

Proceedings of the Machine Learning: ECML-95, 1995

1994

Automatic construction of decision trees for classification.

Wolfgang Müller, Fritz Wysotzki

Ann. Oper. Res., 1994

The Piecewise Linear Classifier DIPOL92.

Barbara Schulmeister, Fritz Wysotzki

Proceedings of the Machine Learning: ECML-94, 1994

1986

Program Synthesis by Hierarchical Planning.

Fritz Wysotzki

Proceedings of the Artificial Intelligence II: Methodology, Systems, Applications, 1986

1983

Representation and Induction of Infinite Concepts and Recursive Action Sequences.

Fritz Wysotzki

Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983

1981

Concept Learning by Structured Examples - An Algebraic Approach.

Fritz Wysotzki, Werner Kolbe, Joachim Selbig

Proceedings of the 7th International Joint Conference on Artificial Intelligence, 1981