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Volumn 3, Issue , 2002, Pages 2198-2203
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Kernelized based functions with Minkovsky's norm for SVM regression
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Author keywords
Kernel based learning algorithms; Regression and function approximation; Regularization; Support Vector Machines (SVMs)
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Indexed keywords
APPROXIMATION THEORY;
LAGRANGE MULTIPLIERS;
LEARNING ALGORITHMS;
NEURAL NETWORKS;
QUADRATIC PROGRAMMING;
TIME SERIES ANALYSIS;
KERNEL-BASED LEARNING ALGORITHMS;
REGRESSION AND FUNCTION APPROXIMATION;
REGULARIZATION;
SUPPORT VECTOR MACHINE REGRESSION;
LEARNING SYSTEMS;
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EID: 0036082880
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper |
Times cited : (17)
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References (19)
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