Multi-view forests of tree-structured radial basis function networks based on Dempster-Shafer evidence theory

ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning

Volumn , Issue , 2008, Pages 307-312

  Abdel Hady, Mohamed Farouk ^a   Palm, Günther ^a   Schwenker, Friedhelm ^a  

^a UNIVERSITY OF ULM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BASE CLASSIFIERS; CLASSIFIER ENSEMBLES; DEMPSTER SHAFER EVIDENCE THEORY; HANDWRITTEN DIGITS RECOGNITION; INDIVIDUAL CLASSIFIERS; MULTI-VIEW LEARNING; MULTIPLE FEATURES; TREE-STRUCTURED;

NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS;

FORESTRY;

EID: 58949101512     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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2. F. Schwenker and G. Palm, Tree structured support vector machines for multi-class pattern recognition, Multiple Classifier Systems, MCS2001, pages 409-417, Springer-Verlag, 2001.
3. M. Halkidi, Y. Batistakis and M. Vazirgiannis, Clustering Validity Checking Methods: Part II, SIGMOD Record 31(3): 19-27, 2002.
4. F. Schwenker, H. Kestler and G. Palm, Three learning phases for radial-basis-function networks, Neural Networks, 14(4-5):439-458, Elsevier, 2001.
5. A. P. Dempster, A generalization of bayesian inference, Journal of the Royal Statistical Society, 205-247, 1968.
6. G. Shafer, A mathematical theory of evidence. (University Press, Princeton, 1976).
7. R. Fay, F. Schwenker, C. Thiel and G. Palm, Hierarchical Neural Networks Utilising Dempster- Shafer Evidence Theory. In F. Schwenker and S. Marinai, editors, proceedings of the 2nd IAPR workshop (ANNPR 2006), Springer-Verlag LNAI 4087, pages 198-209, 2006.
8. D. Margineantu and T. Dietterich, Pruning Adaptive Boosting, proceedings of the 14th international conference on Machine Learning (ICML 1997), pages 211-218, 1997.