Local metric adaptation for soft nearest prototype classification to classify proteomic data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3849 LNAI, Issue , 2006, Pages 290-296

  Schleif, F M ^a,b   Villmann, T ^a   Hammer, B ^c  

^a UNIVERSITY OF LEIPZIG   (Germany)

^b BRUKER DALTONIK GMBH   (Germany)

^c CLAUSTHAL UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Classification; Learning vector quantization; Mass spectrometry; Metric adapta tion; Proteomic profiling

Indexed keywords

LEARNING VECTOR QUANTIZATION; METRIC ADAPTA-TION; PROTEOMIC PROFILING;

ALGORITHMS; DATA ACQUISITION; FUNCTIONS; LEARNING SYSTEMS; MASS SPECTROMETRY; VECTORS;

SOFTWARE PROTOTYPING;

EID: 33745153734     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11676935_36     Document Type: Conference Paper

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