paper announcement

[Barbara Hammer <hammer@informatik.uni-osnabrueck.de>]

Dear Colleagues,

the following recent papers might be of interest to the
readers of connectionists:


 > B.Hammer, T.Villmann, Generalized Relevance Learning Vector Quantization,
 > Neural Networks 15, 1059-1068, 2002

(http://www.informatik.uni-osnabrueck.de/barbara/papers/postscripts/grlvq_color.ps.gz)

which proposes an intuitive extension of LVQ to an automatically
adaptive metric with mathematical precise gradient dynamics

and


 > B.Hammer, M.Strickert, T.Villmann, Learning vector quantization for 
multimodal data,
 > in: J.R.Dorronsoro (Ed.), Artificial Neural Networks - ICANN 2002, 
Springer, 370-375, 2002.

(http://www.informatik.uni-osnabrueck.de/barbara/papers/postscripts/icannsrng_02.ps.gz)

which integrates neighborhood cooperation thus low sensitivity to 
initialization.

Best regards

Barbara Hammer

-- 
Barbara Hammer, Department of Mathematics/Computer Science
University of Osnabrueck, D-49069 Osnabrueck
Phone: +49 (0)541 / 969-2488, Fax: +49 (0)541 / 969-2770
http://www.informatik.uni-osnabrueck.de/barbara/