Linear dependency between ϵ and the input noise in ϵ-support vector regression

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

Volumn 2130, Issue , 2001, Pages 405-410

  Kwok, James T ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; NEURAL NETWORKS;

INPUT NOISE; LINEAR DEPENDENCY; LINEAR SCALING; LINEAR TRENDS; LOCATION PARAMETERS; OBSERVED VALUES; STATISTICAL EFFICIENCY; SUPPORT VECTOR REGRESSION (SVR);

PARAMETER ESTIMATION;

EID: 84958987386     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44668-0_57     Document Type: Conference Paper

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