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Fritz Wysotzki: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Fritz Wysotzki
    Program Synthesis by Hierarchical Planning. [Citation Graph (0, 0)][DBLP]
    AIMSA, 1986, pp:3-11 [Conf]
  2. Ute Schmid, Fritz Wysotzki
    Applying Inductive Program Synthesis to Macro Learning. [Citation Graph (0, 0)][DBLP]
    AIPS, 2000, pp:371-378 [Conf]
  3. Emanuel Kitzelmann, Ute Schmid, Martin Mühlpfordt, Fritz Wysotzki
    Inductive Synthesis of Functional Programs. [Citation Graph (0, 0)][DBLP]
    AISC, 2002, pp:26-37 [Conf]
  4. Peter Geibel, Fritz Wysotzki
    Relational Learning with Decision Trees. [Citation Graph (0, 0)][DBLP]
    ECAI, 1996, pp:428-432 [Conf]
  5. Ulf Brefeld, Peter Geibel, Fritz Wysotzki
    Support Vector Machines with Example Dependent Costs. [Citation Graph (0, 0)][DBLP]
    ECML, 2003, pp:23-34 [Conf]
  6. Wolfgang Müller, Fritz Wysotzki
    Automatic Synthesis of Control Programs by Combination of Learning and Problem Solving Methods (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    ECML, 1995, pp:323-326 [Conf]
  7. Ute Schmid, Fritz Wysotzki
    Induction of Recursive Program Schemes. [Citation Graph (0, 0)][DBLP]
    ECML, 1998, pp:214-225 [Conf]
  8. Barbara Schulmeister, Fritz Wysotzki
    The Piecewise Linear Classifier DIPOL92. [Citation Graph (0, 0)][DBLP]
    ECML, 1994, pp:411-414 [Conf]
  9. Christel Wisotzki, Fritz Wysotzki
    Prototype, Nearest Neighbor and Hybrid Algorithms for Time Series Classification (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    ECML, 1995, pp:364-367 [Conf]
  10. Peter Geibel, Brijnesh J. Jain, Fritz Wysotzki
    SVM learning with the SH inner product. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:299-304 [Conf]
  11. Brijnesh J. Jain, Fritz Wysotzki
    On the short-term-memory of WTA nets. [Citation Graph (0, 0)][DBLP]
    ESANN, 2001, pp:289-294 [Conf]
  12. Brijnesh J. Jain, Fritz Wysotzki
    A Neural Graph Isomorphism Algorithm based on local Invariants. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:79-84 [Conf]
  13. Brijnesh J. Jain, Fritz Wysotzki
    An Associative Memory for the Automorphism Group of Structures. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:107-112 [Conf]
  14. Brijnesh J. Jain, Fritz Wysotzki
    The maximum weighted clique problem and Hopfield networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:331-336 [Conf]
  15. Kristina Schädler, Fritz Wysotzki
    Application of a neural net in classification and knowledge discovery. [Citation Graph (0, 0)][DBLP]
    ESANN, 1998, pp:117-122 [Conf]
  16. Brijnesh J. Jain, Fritz Wysotzki
    A Competitive Winner-Takes-All Architecture for Classification and Pattern Recognition of Structures. [Citation Graph (0, 0)][DBLP]
    GbRPR, 2003, pp:259-270 [Conf]
  17. Brijnesh J. Jain, Fritz Wysotzki
    Efficient Pattern Discrimination with Inhibitory WTA Nets. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:827-834 [Conf]
  18. Brijnesh J. Jain, Fritz Wysotzki
    A Novel Neural Network Approach to Solve Exact and Inexact Graph Isomorphism Problems. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:299-306 [Conf]
  19. Peter Geibel, Fritz Wysotzki
    Perceptron Based Learning with Example Dependent and Noisy Costs. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:218-225 [Conf]
  20. Peter Geibel, Fritz Wysotzki
    Learning Relational Concepts with Decision Trees. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:166-174 [Conf]
  21. Peter Geibel, Ulf Brefeld, Fritz Wysotzki
    Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:167-178 [Conf]
  22. Kristina Schädler, Fritz Wysotzki
    A Connectionist Approach to the Distance-Based Analysis of Relational Data. [Citation Graph (0, 0)][DBLP]
    IDA, 1997, pp:137-148 [Conf]
  23. Fritz Wysotzki
    Representation and Induction of Infinite Concepts and Recursive Action Sequences. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1983, pp:409-414 [Conf]
  24. Fritz Wysotzki, Werner Kolbe, Joachim Selbig
    Concept Learning by Structured Examples - An Algebraic Approach. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1981, pp:153-158 [Conf]
  25. Peter Geibel, Fritz Wysotzki
    A Logical Framework for Graph Theoretical Decision Tree Learning. [Citation Graph (0, 0)][DBLP]
    ILP, 1997, pp:173-180 [Conf]
  26. Tobias Scheffer, Ralf Herbrich, Fritz Wysotzki
    Efficient Theta-Subsumption Based on Graph Algorithms. [Citation Graph (0, 0)][DBLP]
    Inductive Logic Programming Workshop, 1996, pp:212-228 [Conf]
  27. Stefan Bischoff, D. Reuss, Fritz Wysotzki
    Applied Connectionistic Methods in Computer Vision to Compare Segmented Images. [Citation Graph (0, 0)][DBLP]
    KI, 2003, pp:312-326 [Conf]
  28. Peter Geibel, Kristina Schädler, Fritz Wysotzki
    Learning of Class Descriptions from Class Discriminations: A Hybrid Approach for Relational Objects. [Citation Graph (0, 0)][DBLP]
    KI, 2002, pp:186-204 [Conf]
  29. Carsten Gips, Petra Hofstedt, Fritz Wysotzki
    Spatial Inference - Learning vs. Constraint Solving. [Citation Graph (0, 0)][DBLP]
    KI, 2002, pp:299-316 [Conf]
  30. Carsten Gips, Fritz Wysotzki
    Spatial Inference - Combining Learning and Constraint Solving. [Citation Graph (0, 0)][DBLP]
    KI, 2003, pp:282-296 [Conf]
  31. Brijnesh J. Jain, Peter Geibel, Fritz Wysotzki
    Combining Recurrent Neural Networks and Support Vector Machines for Structural Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    KI, 2004, pp:241-255 [Conf]
  32. Brijnesh J. Jain, Fritz Wysotzki
    Fast Winner-Takes-All Networks for the Maximum Clique Problem. [Citation Graph (0, 0)][DBLP]
    KI, 2002, pp:163-173 [Conf]
  33. Brijnesh J. Jain, Fritz Wysotzki
    A k-Winner-Takes-All Classifier for Structured Data. [Citation Graph (0, 0)][DBLP]
    KI, 2003, pp:342-354 [Conf]
  34. Ute Schmid, Marina Müller, Fritz Wysotzki
    Integrating Function Application in State-Based Planning. [Citation Graph (0, 0)][DBLP]
    KI, 2002, pp:144-162 [Conf]
  35. Christoph Schmoeger, Carsten Gips, Fritz Wysotzki
    Spatial Inference with Constraints. [Citation Graph (0, 0)][DBLP]
    LWA, 2005, pp:228-233 [Conf]
  36. Carsten Gips, Fritz Wysotzki
    Spatial Inference - Application of Machine Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    LWA, 2004, pp:155-160 [Conf]
  37. Brijnesh J. Jain, Fritz Wysotzki
    Learning with Neural Networks in the Domain of Graphs. [Citation Graph (0, 0)][DBLP]
    LWA, 2004, pp:163-170 [Conf]
  38. Kristina Schädler, Fritz Wysotzki
    A Connectionist Approach to Structural Simiarity Determination as a Basis of Clustering, Classification and Feature Detection. [Citation Graph (0, 0)][DBLP]
    PKDD, 1997, pp:254-264 [Conf]
  39. Berry Claus, Klaus Eyferth, Carsten Gips, Robin Hörnig, Ute Schmid, Sylvia Wiebrock, Fritz Wysotzki
    Reference Frames for Spatial Inference in Text Understanding. [Citation Graph (0, 0)][DBLP]
    Spatial Cognition, 1998, pp:241-266 [Conf]
  40. Sylvia Wiebrock, Lars Wittenburg, Ute Schmid, Fritz Wysotzki
    Inference and Visualization of Spatial Relations. [Citation Graph (0, 0)][DBLP]
    Spatial Cognition, 2000, pp:212-224 [Conf]
  41. Brijnesh J. Jain, Fritz Wysotzki
    Structural Perceptrons for Attributed Graphs. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:85-94 [Conf]
  42. Peter Geibel, Fritz Wysotzki
    Learning Perceptrons and Piecewise Linear Classifiers Sensitive to Example Dependent Costs. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2004, v:21, n:1, pp:45-56 [Journal]
  43. Kristina Schädler, Fritz Wysotzki
    Comparing Structures Using a Hopfield-Style Neural Network. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 1999, v:11, n:1, pp:15-30 [Journal]
  44. Peter Geibel, Ulf Brefeld, Fritz Wysotzki
    Perceptron and SVM learning with generalized cost models. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2004, v:8, n:5, pp:439-455 [Journal]
  45. Peter Geibel, Kristina Schädler, Fritz Wysotzki
    Connectionist construction of prototypes from decision trees for graph classification. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2003, v:7, n:2, pp:125-140 [Journal]
  46. Peter Geibel, Fritz Wysotzki
    Graphbasierte Lernverfahren für relationale Daten. [Citation Graph (0, 0)][DBLP]
    Inform., Forsch. Entwickl., 2000, v:15, n:1, pp:1-15 [Journal]
  47. Brijnesh J. Jain, Peter Geibel, Fritz Wysotzki
    SVM learning with the Schur-Hadamard inner product for graphs. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:64, n:, pp:93-105 [Journal]
  48. Brijnesh J. Jain, Fritz Wysotzki
    Solving inexact graph isomorphism problems using neural networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:63, n:, pp:45-67 [Journal]
  49. Stefan Bischoff, Fritz Wysotzki
    Applied Connectionistic Methods to compare Segmented Images. [Citation Graph (0, 0)][DBLP]
    KI, 2004, v:18, n:1, pp:11-0 [Journal]
  50. Brijnesh J. Jain, Fritz Wysotzki
    Central Clustering of Attributed Graphs. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:56, n:1-3, pp:169-207 [Journal]
  51. Brijnesh J. Jain, Fritz Wysotzki
    Discrimination networks for maximum selection. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:1, pp:143-154 [Journal]
  52. Brijnesh J. Jain, Fritz Wysotzki
    Automorphism Partitioning with Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2003, v:17, n:2, pp:205-215 [Journal]
  53. Peter Geibel, Fritz Wysotzki
    Risk-Sensitive Reinforcement Learning Applied to Control under Constraints. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2005, v:24, n:, pp:81-108 [Journal]

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