Functional relevance learning in generalized learning vector quantization
نویسندگان
چکیده
منابع مشابه
Generalized functional relevance learning vector quantization
Generalized learning vector quantization (GRLVQ) is a prototype based classification algorithm with metric adaptation weighting each data dimensions according to their relevance for the classification task. We present in this paper an extension for functional data, which are usually very high dimensional. This approach supposes the data vectors have to be functional representations. Taking into...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2012
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2011.11.029