Fritz Wysotzki

60 papers A* 4A 1B 12C 2Misc 10Journal 16Unranked 15

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