Fritz Wysotzki

According to our database1, Fritz Wysotzki authored at least 57 papers between 1981 and 2009.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2009
A New Information Measure Based on Example-Dependent Misclassification Costs and Its Application in Decision Tree Learning.
Adv. Artif. Intell., 2009

2005
Risk-Sensitive Reinforcement Learning Applied to Control under Constraints.
J. Artif. Intell. Res., 2005

Solving inexact graph isomorphism problems using neural networks.
Neurocomputing, 2005

SVM learning with the Schur-Hadamard inner product for graphs.
Neurocomputing, 2005

Spatial Inference with Constraints.
Proceedings of the Lernen, 2005

Development of Inductive Synthesis of Functional Programs.
Proceedings of the Workshop on Approaches and Applications of Inductive Programming, 2005

2004
Discrimination networks for maximum selection.
Neural Networks, 2004

Central Clustering of Attributed Graphs.
Mach. Learn., 2004

Applied Connectionistic Methods to compare Segmented Images.
Künstliche Intell., 2004

Perceptron and SVM learning with generalized cost models.
Intell. Data Anal., 2004

Learning Perceptrons and Piecewise Linear Classifiers Sensitive to Example Dependent Costs.
Appl. Intell., 2004

Structural Perceptrons for Attributed Graphs.
Proceedings of the Structural, 2004

Learning with Neural Networks in the Domain of Graphs.
Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004

Spatial Inference - Application of Machine Learning Algorithms.
Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004

Combining Recurrent Neural Networks and Support Vector Machines for Structural Pattern Recognition.
Proceedings of the KI 2004: Advances in Artificial Intelligence, 2004

The maximum weighted clique problem and Hopfield networks.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

SVM learning with the SH inner product.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003
Automorphism Partitioning with Neural Networks.
Neural Process. Lett., 2003

Connectionist construction of prototypes from decision trees for graph classification.
Intell. Data Anal., 2003

A k-Winner-Takes-All Classifier for Structured Data.
Proceedings of the KI 2003: Advances in Artificial Intelligence, 2003

Spatial Inference - Combining Learning and Constraint Solving.
Proceedings of the KI 2003: Advances in Artificial Intelligence, 2003

Applied Connectionistic Methods in Computer Vision to Compare Segmented Images.
Proceedings of the KI 2003: Advances in Artificial Intelligence, 2003

Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs.
Proceedings of the Advances in Intelligent Data Analysis V, 2003

Perceptron Based Learning with Example Dependent and Noisy Costs.
Proceedings of the Machine Learning, 2003

A Novel Neural Network Approach to Solve Exact and Inexact Graph Isomorphism Problems.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

A Competitive Winner-Takes-All Architecture for Classification and Pattern Recognition of Structures.
Proceedings of the Graph Based Representations in Pattern Recognition, 2003

An Associative Memory for the Automorphism Group of Structures.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

A Neural Graph Isomorphism Algorithm based on local Invariants.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

Support Vector Machines with Example Dependent Costs.
Proceedings of the Machine Learning: ECML 2003, 2003

2002
Integrating Function Application in State-Based Planning.
Proceedings of the KI 2002: Advances in Artificial Intelligence, 2002

Fast Winner-Takes-All Networks for the Maximum Clique Problem.
Proceedings of the KI 2002: Advances in Artificial Intelligence, 2002

Spatial Inference - Learning vs. Constraint Solving.
Proceedings of the KI 2002: Advances in Artificial Intelligence, 2002

Learning of Class Descriptions from Class Discriminations: A Hybrid Approach for Relational Objects.
Proceedings of the KI 2002: Advances in Artificial Intelligence, 2002

Inductive Synthesis of Functional Programs.
Proceedings of the Artificial Intelligence, 2002

2001
Efficient Pattern Discrimination with Inhibitory WTA Nets.
Proceedings of the Artificial Neural Networks, 2001

On the short-term-memory of WTA nets.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

2000
Graphbasierte Lernverfahren für relationale Daten.
Inform. Forsch. Entwickl., 2000

Inference and Visualization of Spatial Relations.
Proceedings of the Spatial Cognition II, 2000

Applying Inductive Program Synthesis to Macro Learning.
Proceedings of the Fifth International Conference on Artificial Intelligence Planning Systems, 2000

1999
Comparing Structures Using a Hopfield-Style Neural Network.
Appl. Intell., 1999

1998
Reference Frames for Spatial Inference in Text Understanding.
Proceedings of the Spatial Cognition, 1998

Application of a neural net in classification and knowledge discovery.
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

Induction of Recursive Program Schemes.
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.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1997

A Logical Framework for Graph Theoretical Decision Tree Learning.
Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997

A Connectionist Approach to the Distance-Based Analysis of Relational Data.
Proceedings of the Advances in Intelligent Data Analysis, 1997

1996
Aerial Robotics in Computer Science Education.
Comput. Sci. Educ., 1996

Efficient Theta-Subsumption Based on Graph Algorithms.
Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996

Learning Relational Concepts with Decision Trees.
Proceedings of the Machine Learning, 1996

Relational Learning with Decision Trees.
Proceedings of the 12th European Conference on Artificial Intelligence, 1996

1995
Prototype, Nearest Neighbor and Hybrid Algorithms for Time Series Classification (Extended Abstract).
Proceedings of the Machine Learning: ECML-95, 1995

Automatic Synthesis of Control Programs by Combination of Learning and Problem Solving Methods (Extended Abstract).
Proceedings of the Machine Learning: ECML-95, 1995

1994
Automatic construction of decision trees for classification.
Ann. Oper. Res., 1994

The Piecewise Linear Classifier DIPOL92.
Proceedings of the Machine Learning: ECML-94, 1994

1986
Program Synthesis by Hierarchical Planning.
Proceedings of the Artificial Intelligence II: Methodology, Systems, Applications, 1986

1983
Representation and Induction of Infinite Concepts and Recursive Action Sequences.
Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983

1981
Concept Learning by Structured Examples - An Algebraic Approach.
Proceedings of the 7th International Joint Conference on Artificial Intelligence, 1981


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