Improving the performance of the HONG network with boosting

This paper gives a brief description of a hierarchical architecture (HONG) that has been described elsewhere. The learning algorithm it uses is a mixed unsupervised/supervised method with most of the learning being unsupervised. The architecture generates multiple classifications for every data pattern presented, and combines them to obtain the final classification. The main purpose of this paper is to show how boosting can be used to improve the performance of the HONG classifier.

[1]  Ponnuthurai Nagaratnam Suganthan,et al.  Multiple HONG network fusion by fuzzy integral , 1999, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378).

[2]  Nils J. Nilsson,et al.  Learning Machines: Foundations of Trainable Pattern-Classifying Systems , 1965 .

[3]  Sargur N. Srihari,et al.  Decision Combination in Multiple Classifier Systems , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  L. Breiman Arcing Classifiers , 1998 .

[5]  David J. Spiegelhalter,et al.  Machine Learning, Neural and Statistical Classification , 2009 .

[6]  Catherine Blake,et al.  UCI Repository of machine learning databases , 1998 .

[7]  Ronald R. Yager Element selection from a fuzzy subset using the fuzzy integral , 1993, IEEE Trans. Syst. Man Cybern..

[8]  Christopher J. Merz,et al.  UCI Repository of Machine Learning Databases , 1996 .

[9]  Yoav Freund,et al.  Experiments with a New Boosting Algorithm , 1996, ICML.

[10]  Adam Krzyżak,et al.  Methods of combining multiple classifiers and their applications to handwriting recognition , 1992, IEEE Trans. Syst. Man Cybern..

[11]  Teuvo Kohonen,et al.  The self-organizing map , 1990, Neurocomputing.

[12]  Yoshua Bengio,et al.  Boosting Neural Networks , 2000, Neural Computation.

[13]  Thomas Martinetz,et al.  'Neural-gas' network for vector quantization and its application to time-series prediction , 1993, IEEE Trans. Neural Networks.

[14]  Ponnuthurai N. Suganthan,et al.  Hierarchical overlapped neural gas network with application to pattern classification , 2000, Neurocomputing.