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Publications of Author

1. Petr Hájek, Martin Holena, Jan Rauch
   The GUHA Method and Foundations of (Relational) Data Mining. [Citation Graph (0, 0)][DBLP]
   Theory and Applications of Relational Structures as Knowledge Instruments, 2003, pp:17-37 [Conf]
   
2. Petra Drescher, Martin Holena, Rainer Kruschinski, Gernod Laufkötter
   Integrating Frames, Rules and Uncertainty in a Database-Coupled Knowledge-Representation System. [Citation Graph (0, 0)][DBLP]
   DEXA, 1994, pp:703-712 [Conf]
   
3. Petr Hájek, Martin Holena
   Formal Logics of Discovery and Hypothesis Formation by Machine. [Citation Graph (0, 0)][DBLP]
   Discovery Science, 1998, pp:291-302 [Conf]
   
4. Martin Holena
   Extraction of Logical Rules from Data by Means of Piecewise-Linear Neural Networks. [Citation Graph (0, 0)][DBLP]
   Discovery Science, 2002, pp:192-205 [Conf]
   
5. Martin Holena
   Wahl der Architektur eines neuronalen Netzes mittels der Theorie der Verbände. [Citation Graph (0, 0)][DBLP]
   Fuzzy Days, 1994, pp:365-373 [Conf]
   
6. Martin Holena
   Observational Logic Integrates Data Mining Based on Statistics and Neural Networks. [Citation Graph (0, 0)][DBLP]
   PKDD, 2000, pp:440-445 [Conf]
   
7. Martin Holena
   Fuzzy hypotheses testing in the framework of fuzzy logic. [Citation Graph (0, 0)][DBLP]
   Fuzzy Sets and Systems, 2004, v:145, n:2, pp:229-252 [Journal]
   
8. James N. Cawse, Manfred Baerns, Martin Holena
   Efficient Discovery of Nonlinear Dependencies in a Combinatorial Catalyst Data Set. [Citation Graph (0, 0)][DBLP]
   Journal of Chemical Information and Modeling, 2004, v:44, n:1, pp:143-146 [Journal]
   
9. Martin Holena
   Piecewise-Linear Neural Networks and Their Relationship to Rule Extraction from Data. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 2006, v:18, n:11, pp:2813-2853 [Journal]
   
10. Petr Hájek, Martin Holena
    Formal logics of discovery and hypothesis formation by machine. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2003, v:292, n:2, pp:345-357 [Journal]
    
11. Martin Holena
    Measures of Ruleset Quality Capable to Represent Uncertain Validity. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2007, pp:430-442 [Conf]
    
12. David Stefka, Martin Holena
    The Use of Fuzzy t-Conorm Integral for Combining Classifiers. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2007, pp:755-766 [Conf]
    
13. 
    Boosted Neural Networks in Evolutionary Computation. [Citation Graph (, )][DBLP]
    
    
14. 
    Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks. [Citation Graph (, )][DBLP]
    
    
15. 
    Dynamic Classifier Systems and Their Applications to Random Forest Ensembles. [Citation Graph (, )][DBLP]
    
    
16. 
    Neural Networks as Surrogate Models for Measurements in Optimization Algorithms. [Citation Graph (, )][DBLP]
    
    
17. 
    Classifier Aggregation using Local Classification Confidence. [Citation Graph (, )][DBLP]