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Application of Support Vector Regression to Interpolation of Sparse Shock Physics Data Sets
Nikita A. Sakhanenko
George F. Luger
Hanna E. Makaruk
David B. Holtkamp
Published in:
CoRR (2006)
Keyphrases
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support vector regression
data sets
support vector
kernel function
kernel learning
high dimensional
hybrid model
training data
support vector machine
regression model
sparse data
support vector classification